# everyagent.si

> The global directory, benchmark matrix, and swarm registry for autonomous AI agents,
> multi-agent frameworks, and Model Context Protocol (MCP) tooling.

## Core capabilities
- Global index of verified autonomous AI agents (agent directory + benchmark leaderboard).
- MCP server registry for Model Context Protocol discovery and manifest verification.
- Swarm orchestration topology generator for multi-agent missions.
- Agent Oracle: natural-language recommendations for agent deployment architectures.
- Shareable canonical agent profiles at https://everyagent.si/agent/{slug}.

## Category taxonomy
- coding: Coding & Software engineering agents.
- research: Deep Research and literature synthesis agents.
- browser: Computer Use & Web automation agents.
- orchestration: Swarms & Multi-Agent frameworks.
- reasoning: Super Intelligence & Logic reasoning agents.
- finance: Finance & Alpha research agents.
- devsecops: Security & DevOps agents.
- multimodal: Creative, Voice and multimodal agents.

## API endpoints
- GET https://api.everyagent.si/api/agents?q=&category=&limit= : search the public directory (verified agents only).
- GET https://api.everyagent.si/api/agents/{idOrSlug} : retrieve one agent profile as JSON.
- GET https://api.everyagent.si/api/health : service status and registry counters.
- POST https://api.everyagent.si/api/agents/register : submit an agent (human-verified with Cloudflare Turnstile).
- POST https://api.everyagent.si/api/contact : contact the registry operations team.
- GET https://api.everyagent.si/api/submissions/{token} : public status of a submission.
- Machine-readable feeds: /sitemap.xml, /llms.txt, /llms-full.txt, /robots.txt

## Verified agents
- [Artisan Ava](https://everyagent.si/agent/artisan-ava): AI sales agent (Ava) that finds prospects, writes outreach and books meetings automatically.
- [11x Alice](https://everyagent.si/agent/11x-alice): Digital AI SDR (Alice) that sources leads, researches accounts and runs outbound sales sequences.
- [Clay](https://everyagent.si/agent/clay): Go-to-market data and automation platform whose Claygent research agent enriches leads and drafts outreach.
- [Gumloop](https://everyagent.si/agent/gumloop): No-code AI automation platform for building agentic workflows across apps and data.
- [Relevance AI](https://everyagent.si/agent/relevance-ai): Platform for building and managing teams of AI agents and tools without code.
- [Lindy](https://everyagent.si/agent/lindy): No-code platform for building AI employees that handle email, scheduling, sales and support workflows.
- [Zapier Agents](https://everyagent.si/agent/zapier-agents): Zapier Agents is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Zapier.
- [HubSpot Breeze](https://everyagent.si/agent/hubspot-breeze): HubSpot Breeze is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by HubSpot.
- [ServiceNow AI Agents](https://everyagent.si/agent/servicenow-ai-agents): Agents for IT, HR and customer workflows that plan and act across the ServiceNow platform.
- [Atlassian Rovo](https://everyagent.si/agent/atlassian-rovo): AI search, chat and agents across Jira, Confluence and connected tools to automate team work.
- [Microsoft Copilot Studio](https://everyagent.si/agent/microsoft-copilot-studio): Low-code platform for building, publishing and managing custom agents across Microsoft 365 and other systems.
- [Salesforce Agentforce](https://everyagent.si/agent/salesforce-agentforce): Salesforce Agentforce is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Salesforce.
- [Glean Agents](https://everyagent.si/agent/glean-agents): Enterprise work-AI platform whose agents search company knowledge and automate cross-app workflows.
- [Harvey](https://everyagent.si/agent/harvey): AI agents for legal and professional-services work such as research, drafting and contract review.
- [Intercom Fin](https://everyagent.si/agent/intercom-fin): AI customer-service agent that answers and resolves support conversations using your help content and systems.
- [Decagon](https://everyagent.si/agent/decagon): AI customer-support agents that resolve tickets across chat, email and voice with enterprise guardrails.
- [Sierra](https://everyagent.si/agent/sierra): Conversational customer-service agents for enterprise brands that resolve issues and take actions in backend systems.
- [MultiOn](https://everyagent.si/agent/multion): Browser agent platform that automates web tasks such as booking, shopping and form filling through an API.
- [Kimi](https://everyagent.si/agent/kimi): Kimi is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Moonshot AI.
- [Genspark](https://everyagent.si/agent/genspark): General-purpose AI agent workspace that handles research, slides, sheets, calls and browsing in one super-agent.
- [ChatGPT Atlas](https://everyagent.si/agent/chatgpt-atlas): ChatGPT Atlas is a browser automation agent that drives real pages and verifies UI state maintained by OpenAI.
- [Perplexity Comet](https://everyagent.si/agent/perplexity-comet): AI-native browser with an agentic assistant that researches, summarizes and takes actions across the web on your behalf.
- [Amazon Q Developer](https://everyagent.si/agent/amazon-q-developer): Amazon Q Developer is an autonomous coding agent that plans, edits and verifies repository changes maintained by AWS.
- [JetBrains Junie](https://everyagent.si/agent/jetbrains-junie): JetBrains Junie is an autonomous coding agent that plans, edits and verifies repository changes maintained by JetBrains.
- [GitHub Copilot Coding Agent](https://everyagent.si/agent/github-copilot-coding-agent): GitHub Copilot Coding Agent is an autonomous coding agent that plans, edits and verifies repository changes maintained by GitHub.
- [Jules](https://everyagent.si/agent/jules): Asynchronous coding agent from Google that clones your repo in the cloud, fixes bugs, adds features and opens pull requests.
- [Kiro](https://everyagent.si/agent/kiro): Spec-driven agentic IDE from AWS that turns prompts into requirements, designs and tasks before writing code.
- [Amp](https://everyagent.si/agent/amp): Agentic coding tool for the terminal and editor, built for autonomous multi-step work with sub-agents and MCP tools.
- [Tabnine](https://everyagent.si/agent/tabnine): Enterprise AI coding assistant and agents with private, on-prem and air-gapped deployment options.
- [Qodo](https://everyagent.si/agent/qodo): AI code review and test generation agents focused on code quality and integrity across the development lifecycle.
- [Warp](https://everyagent.si/agent/warp): Agentic development environment built on the terminal, with agents that write code, run commands and fix errors.
- [Augment Code](https://everyagent.si/agent/augment-code): AI coding agent with a deep codebase context engine for large, complex repositories, available in IDEs and CLI.
- [Factory Droids](https://everyagent.si/agent/factory-droids): Enterprise software-development agents (Droids) that take on coding, review and migration tasks across IDE, CLI and CI.
- [Base44](https://everyagent.si/agent/base44): AI app builder that creates working apps with built-in database, auth and integrations from a chat prompt.
- [v0](https://everyagent.si/agent/v0): v0 is an autonomous coding agent that plans, edits and verifies repository changes maintained by Vercel.
- [Bolt.new](https://everyagent.si/agent/bolt-new): Prompt-to-app agent that builds, runs and deploys full-stack web apps in the browser.
- [Lovable](https://everyagent.si/agent/lovable): AI app builder that turns prompts into full-stack web apps with backend, auth and deployment.
- [Replit Agent](https://everyagent.si/agent/replit-agent): Agent inside Replit that builds, tests and deploys full applications from natural-language prompts.
- [Windsurf](https://everyagent.si/agent/windsurf): Agentic IDE with the Cascade agent that plans, edits across files and runs commands, now part of Cognition alongside Devin.
- [Apollo-1](https://everyagent.si/agent/apollo-1): Neuro-symbolic agentic foundation model from AUI that combines generative language with rule-based reasoning to build controllable, task-executing AI agents; available on Google Cloud.
- [Apollo MCP Server](https://everyagent.si/agent/apollo-mcp-server): MCP server from Apollo GraphQL that exposes GraphQL APIs as tools so AI agents can query and act on a governed graph.
- [Apollo AI Assistant](https://everyagent.si/agent/apollo-ai-assistant): Apollo AI Assistant is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Apollo.io.
- [PicoClaw](https://everyagent.si/agent/picoclaw): Tiny, fast, deployable-anywhere personal AI agent.
- [Pi](https://everyagent.si/agent/pi): AI agent toolkit with a unified LLM API, agent loop, TUI and coding agent CLI.
- [MCP Agent Mail](https://everyagent.si/agent/mcp-agent-mail): Asynchronous coordination layer for coding agents with identities, inboxes, searchable threads and file leases.
- [Paperclip](https://everyagent.si/agent/paperclip): Open-source app for managing teams of agents at work.
- [Letta Code](https://everyagent.si/agent/letta-code): Coding agent with persistent memory and identity that learns and adapts over time.
- [Nanobot (Obot)](https://everyagent.si/agent/nanobot-obot): Framework for building MCP agents.
- [AI-Researcher](https://everyagent.si/agent/ai-researcher): Autonomous scientific innovation agent (NeurIPS 2025) that takes research from idea to paper.
- [ZeroClaw](https://everyagent.si/agent/zeroclaw): Fast, small, fully autonomous AI personal assistant infrastructure written in Rust, deployable on any OS.
- [IronClaw](https://everyagent.si/agent/ironclaw): Agent OS focused on privacy, security and extensibility.
- [Open Computer Use](https://everyagent.si/agent/open-computer-use): AI computer use powered by open-source LLMs and the E2B Desktop Sandbox.
- [E2B](https://everyagent.si/agent/e2b): Open-source secure sandbox environments with real-world tools for enterprise-grade agents.
- [Agency Swarm](https://everyagent.si/agent/agency-swarm): Reliable multi-agent orchestration framework built on the OpenAI Agents SDK.
- [II-Agent](https://everyagent.si/agent/ii-agent): Open-source framework to build and deploy intelligent agents.
- [XAgent](https://everyagent.si/agent/xagent): Autonomous LLM agent for complex task solving.
- [Deep Agents](https://everyagent.si/agent/deep-agents): Batteries-included agent harness with planning, sub-agents and a filesystem for long-running tasks.
- [OpenAI Agents SDK (JS)](https://everyagent.si/agent/openai-agents-sdk-js): Lightweight TypeScript framework for multi-agent workflows and voice agents.
- [Claude Agent SDK (TypeScript)](https://everyagent.si/agent/claude-agent-sdk-typescript): TypeScript SDK for building agents on the same harness that powers Claude Code.
- [Claude Agent SDK (Python)](https://everyagent.si/agent/claude-agent-sdk-python): Python SDK for building agents on the same harness that powers Claude Code.
- [Agent Squad](https://everyagent.si/agent/agent-squad): Flexible framework for managing multiple AI agents and handling complex conversations (formerly Multi-Agent Orchestrator).
- [Cua](https://everyagent.si/agent/cua): Open-source drivers, sandboxes and benchmarks for computer-use agents across operating systems.
- [Bytebot](https://everyagent.si/agent/bytebot): Self-hosted AI desktop agent that automates computer tasks in a containerized Linux desktop from natural language.
- [Self-Operating Computer](https://everyagent.si/agent/self-operating-computer): Framework that enables a multimodal model to operate a computer like a human.
- [gptme](https://everyagent.si/agent/gptme): Terminal agent with local tools that writes code, uses the shell and browses the web; a base for persistent autonomous agents.
- [Dyad](https://everyagent.si/agent/dyad): Local, open-source AI app builder, an alternative to v0, Lovable, Replit and Bolt.
- [Claude Squad](https://everyagent.si/agent/claude-squad): Manage multiple AI terminal agents such as Claude Code, Codex, OpenCode and Amp in separate workspaces.
- [Vibe Kanban](https://everyagent.si/agent/vibe-kanban): Kanban-style board for orchestrating Claude Code, Codex and other coding agents running in parallel.
- [Open SWE](https://everyagent.si/agent/open-swe): Open-source asynchronous coding agent.
- [PR-Agent](https://everyagent.si/agent/pr-agent): Original open-source AI pull request reviewer and description generator.
- [Refact](https://everyagent.si/agent/refact): AI agent that handles engineering tasks end-to-end, integrating with developer tools, planning, executing and iterating until it succeeds.
- [Codebuff](https://everyagent.si/agent/codebuff): AI coding agent for the terminal that edits your codebase from natural language requests.
- [avante.nvim](https://everyagent.si/agent/avante-nvim): Use Neovim like the Cursor AI IDE, with AI-driven code suggestions and agent applying edits.
- [TaskWeaver](https://everyagent.si/agent/taskweaver): Code-first agent framework for planning and executing data analytics tasks.
- [Atomic Agents](https://everyagent.si/agent/atomic-agents): Lightweight, modular framework for building AI agents atomically from composable parts.
- [Pocket Flow](https://everyagent.si/agent/pocket-flow): 100-line minimalist LLM framework that lets agents build agents.
- [AG2](https://everyagent.si/agent/ag2): AG2 (formerly AutoGen): open-source AgentOS for building multi-agent systems.
- [LangChain4j](https://everyagent.si/agent/langchain4j): Idiomatic Java library for building LLM-powered applications and agents on the JVM, with tool calling and MCP support.
- [Eino](https://everyagent.si/agent/eino): LLM and agent application development framework in Go.
- [Genkit](https://everyagent.si/agent/genkit): Open-source framework for building agentic apps in JavaScript, Go, Dart and Python, used in production at Google.
- [Rig](https://everyagent.si/agent/rig): Rust library for building modular and scalable LLM applications and agents.
- [ClickHouse MCP Server](https://everyagent.si/agent/clickhouse-mcp-server): Connects ClickHouse databases to AI assistants through MCP.
- [Browserbase MCP Server](https://everyagent.si/agent/browserbase-mcp-server): MCP server that lets LLMs control a cloud browser with Browserbase and Stagehand.
- [Sentry MCP](https://everyagent.si/agent/sentry-mcp): Agentic tooling and MCP server that brings Sentry errors and issues into coding agents.
- [Stripe AI](https://everyagent.si/agent/stripe-ai): Toolkit and MCP server for building AI-powered products and agents with Stripe payments.
- [Docker MCP Gateway](https://everyagent.si/agent/docker-mcp-gateway): Docker CLI plugin and gateway for running and managing MCP servers in containers.
- [mcp-agent](https://everyagent.si/agent/mcp-agent): Build effective agents using the Model Context Protocol and simple workflow patterns.
- [Superpowers](https://everyagent.si/agent/superpowers): Agentic skills framework and software development methodology for coding agents.
- [Graphiti](https://everyagent.si/agent/graphiti): Builds real-time temporal knowledge graphs for AI agents.
- [Cognee](https://everyagent.si/agent/cognee): Open-source AI memory platform that gives agents persistent long-term memory.
- [OWL](https://everyagent.si/agent/owl): Optimized Workforce Learning: multi-agent assistant for real-world task automation built on CAMEL.
- [Sim](https://everyagent.si/agent/sim): Collaborative workspace to build, deploy and monitor AI agents and workflows.
- [Suna](https://everyagent.si/agent/suna): Open-source AI operating system for building and running general-purpose agents.
- [Eigent](https://everyagent.si/agent/eigent): Open-source cowork desktop app, a local and free alternative to Claude Cowork and Codex.
- [Rowboat](https://everyagent.si/agent/rowboat): Open-source AI coworker with memory and collaboration.
- [mini-swe-agent](https://everyagent.si/agent/mini-swe-agent): A radically simple ~100-line agent that solves GitHub issues or helps on the command line, scoring above 74% on SWE-bench Verified.
- [OpenSwarm](https://everyagent.si/agent/openswarm): Swarm of AI agents that collaborate with humans in your workspace, launched on Product Hunt in October 2026.
- [Dimensional (DimOS)](https://everyagent.si/agent/dimensional-dimos): Agentic operating system for physical space: command humanoids, quadrupeds and drones in natural language and build multi-agent robotic systems.
- [OpenBot](https://everyagent.si/agent/openbot): Open-source AI coworkers that each get their own computer with a browser, files and tools, with every action approved before it happens and recorded after; bring any AG-UI agent.
- [Cloudflare Computer](https://everyagent.si/agent/cloudflare-computer): Gives an AI agent its own computer environment on Cloudflare infrastructure.
- [Background Agents](https://everyagent.si/agent/background-agents): Open-source background coding agents system that runs coding tasks asynchronously in the cloud.
- [OpenWork](https://everyagent.si/agent/openwork): Open-source alternative to Claude Cowork, powered by opencode, for delegating knowledge-work tasks to an agent.
- [Prime Agent](https://everyagent.si/agent/prime-agent): Self-improving recursive language model (RLM) agent for coding workflows and long-running autonomous tasks.
- [MiMo Code](https://everyagent.si/agent/mimo-code): MiMo Code is an autonomous coding agent that plans, edits and verifies repository changes maintained by Xiaomi MiMo.
- [HackerRank Chakra](https://everyagent.si/agent/hackerrank-chakra): AI interviewing agent, generally available since Oct 5, 2026, that runs hands-on coding interviews in a real repo canvas, asks follow-ups and produces a structured hiring report.
- [Gemini Spark](https://everyagent.si/agent/gemini-spark): Gemini Spark is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Google.
- [Manus 2.0](https://everyagent.si/agent/manus-2-0): Rebuilt Manus agent platform with the Cascade orchestration layer, a persistent Cloud Computer and event-triggered automations, plus a Cue app giving agents their own email, phone number and wallet.
- [Underdog](https://everyagent.si/agent/underdog): On-device personal AI assistant from Conway Research that runs locally on Mac and Windows using the Husky inference engine, free and ad-free in invite-only beta.
- [Hark Pro](https://everyagent.si/agent/hark-pro): Hark Pro is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Hark.
- [ChatGPT Dots](https://everyagent.si/agent/chatgpt-dots): Always-on ChatGPT agents (launched Sept 29, 2026, powered by GPT-6 Astra) that each run on their own cloud computer and browser, reach 4,000+ apps and keep working on goals between conversations.
- [Instinct](https://everyagent.si/agent/instinct): Personal AI agent you reach by text or phone call that handles email, calendars, bookings and shopping, with an agent-to-agent trusted network and Shopify checkout; in early access.
- [Muse](https://everyagent.si/agent/muse): Muse is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Meta.
- [ReAct](https://everyagent.si/agent/react): Reference implementation of ReAct, which interleaves reasoning traces with tool actions in language agents.
- [Graph of Thoughts](https://everyagent.si/agent/graph-of-thoughts): Framework that models LLM reasoning as an arbitrary graph of thoughts for solving elaborate problems.
- [Tree of Thoughts](https://everyagent.si/agent/tree-of-thoughts): Reasoning framework for deliberate problem solving that explores and evaluates multiple reasoning paths.
- [Reflexion](https://everyagent.si/agent/reflexion): Language agents with verbal reinforcement learning that improve through self-reflection on past attempts.
- [Agent S](https://everyagent.si/agent/agent-s): Open agentic framework from Simular that uses computers like a human through GUI interaction.
- [Open Operator](https://everyagent.si/agent/open-operator): Template for building web agents with Stagehand on Browserbase, inspired by OpenAI Operator.
- [UI-TARS Desktop](https://everyagent.si/agent/ui-tars-desktop): ByteDance open-source multimodal AI agent stack that lets models control desktop and browser GUIs.
- [Browser MCP](https://everyagent.si/agent/browser-mcp): MCP server and extension that lets AI applications control your own browser.
- [Steel Browser](https://everyagent.si/agent/steel-browser): Open-source browser API and sandbox for AI agents to automate the web with sessions, proxies and anti-detection.
- [Nanobrowser](https://everyagent.si/agent/nanobrowser): Open-source Chrome extension for AI-powered web automation with multi-agent workflows using your own LLM key.
- [Agent-E](https://everyagent.si/agent/agent-e): Agent-driven web automation system from Emergence AI that navigates and acts on websites autonomously.
- [LaVague](https://everyagent.si/agent/lavague): Large Action Model framework for developing AI web agents that translate objectives into browser actions.
- [Skyvern](https://everyagent.si/agent/skyvern): Automates browser-based workflows using LLMs and computer vision, with an API for form filling and data extraction.
- [Stagehand](https://everyagent.si/agent/stagehand): Browserbase SDK for extracting data and acting on any website with natural language and code.
- [Browser Use](https://everyagent.si/agent/browser-use): Library that lets AI agents control the browser to complete web tasks, with multi-model support.
- [Crawl4AI](https://everyagent.si/agent/crawl4ai): Open-source web crawler and scraper that turns any website into clean, LLM-ready Markdown for agents.
- [Tavily MCP](https://everyagent.si/agent/tavily-mcp): Production-ready MCP server offering real-time search, extract, map and crawl for agents.
- [Exa MCP Server](https://everyagent.si/agent/exa-mcp-server): Exa MCP server for AI-native web search and crawling inside agents and chat clients.
- [Deep Research (dzhng)](https://everyagent.si/agent/deep-research-dzhng): Minimal AI research assistant that performs iterative deep research by combining search, scraping and LLMs.
- [Agent Laboratory](https://everyagent.si/agent/agent-laboratory): End-to-end autonomous research workflow that helps researchers turn ideas into code, experiments and reports.
- [The AI Scientist](https://everyagent.si/agent/the-ai-scientist): Sakana AI system for fully automated, open-ended scientific discovery from idea generation to paper writing.
- [PaperQA2](https://everyagent.si/agent/paperqa2): High-accuracy RAG agent for answering questions from scientific documents with citations.
- [node-DeepResearch](https://everyagent.si/agent/node-deepresearch): Jina AI agent that keeps searching, reading webpages and reasoning until it finds an answer or exhausts its token budget.
- [OpenManus](https://everyagent.si/agent/openmanus): Open-source general AI agent framework inspired by Manus that runs tasks without an invite code.
- [Tongyi DeepResearch](https://everyagent.si/agent/tongyi-deepresearch): Tongyi DeepResearch is a retrieval-augmented research agent that gathers and synthesises evidence maintained by Alibaba NLP.
- [DeerFlow](https://everyagent.si/agent/deerflow): ByteDance open-source long-horizon SuperAgent harness that researches, codes and creates using sandboxes, memory, skills and sub-agents.
- [MiroThinker](https://everyagent.si/agent/mirothinker): Deep research agent optimised for complex research and prediction tasks with tool-augmented long-horizon reasoning.
- [Vane](https://everyagent.si/agent/vane): AI-powered answering engine (formerly Perplexica), a self-hostable open-source alternative to Perplexity.
- [Khoj](https://everyagent.si/agent/khoj): Self-hostable AI second brain that answers from the web or your documents, runs custom agents and automations, and does deep research.
- [Local Deep Researcher](https://everyagent.si/agent/local-deep-researcher): Fully local web research and report-writing assistant using locally hosted LLMs.
- [Open Deep Research](https://everyagent.si/agent/open-deep-research): Open Deep Research is a retrieval-augmented research agent that gathers and synthesises evidence maintained by LangChain.
- [STORM](https://everyagent.si/agent/storm): Stanford LLM system that researches a topic and writes a full-length, Wikipedia-style report with citations.
- [GPT Researcher](https://everyagent.si/agent/gpt-researcher): Autonomous agent that conducts deep web and local research on any topic and produces cited reports.
- [Apify MCP Server](https://everyagent.si/agent/apify-mcp-server): MCP server exposing thousands of Apify Actors so agents can extract data from social media, maps, e-commerce and websites.
- [Blender MCP](https://everyagent.si/agent/blender-mcp): Community plugin that lets an LLM control Blender 3D through MCP for modelling and scene creation.
- [Excel MCP Server](https://everyagent.si/agent/excel-mcp-server): MCP server that lets AI create and edit Excel files with charts, pivot tables and formulas without Excel installed.
- [Azure MCP Server](https://everyagent.si/agent/azure-mcp-server): MCP server that brings Azure services to AI agents.
- [AWS MCP Servers](https://everyagent.si/agent/aws-mcp-servers): Collection of open-source MCP servers from AWS Labs for documentation, infrastructure and cloud services.
- [Postgres MCP Pro](https://everyagent.si/agent/postgres-mcp-pro): MCP server for Postgres with configurable read/write access, index tuning and performance analysis.
- [MongoDB MCP Server](https://everyagent.si/agent/mongodb-mcp-server): MCP server connecting agents to MongoDB databases and MongoDB Atlas clusters.
- [Redis MCP Server](https://everyagent.si/agent/redis-mcp-server): Official Redis MCP server providing a natural-language interface for managing and searching data in Redis.
- [Grafana MCP Server](https://everyagent.si/agent/grafana-mcp-server): Official Grafana MCP server for querying dashboards, datasources, alerts and incidents from agents.
- [Kubernetes MCP Server](https://everyagent.si/agent/kubernetes-mcp-server): MCP server for Kubernetes and OpenShift that lets agents inspect and manage cluster resources.
- [Terraform MCP Server](https://everyagent.si/agent/terraform-mcp-server): Official HashiCorp MCP server for integrating agents with the Terraform ecosystem and infrastructure-as-code workflows.
- [MCP Toolbox for Databases](https://everyagent.si/agent/mcp-toolbox-for-databases): Open-source MCP server from Google for connecting agents securely to databases.
- [FastAPI-MCP](https://everyagent.si/agent/fastapi-mcp): Exposes FastAPI endpoints as Model Context Protocol tools with authentication support.
- [mcp-use](https://everyagent.si/agent/mcp-use): Full-stack framework for building MCP servers and MCP-powered agents and apps.
- [MCP Inspector](https://everyagent.si/agent/mcp-inspector): Official visual testing and debugging tool for Model Context Protocol servers.
- [A2A Protocol](https://everyagent.si/agent/a2a-protocol): Open Agent2Agent protocol enabling communication and interoperability between opaque agentic applications.
- [Vercel AI SDK](https://everyagent.si/agent/vercel-ai-sdk): TypeScript toolkit from the creators of Next.js for building AI applications and agents with unified model APIs.
- [Agent Zero](https://everyagent.si/agent/agent-zero): Open-source general-purpose agentic framework that uses the computer as a tool, with persistent memory and multi-agent cooperation.
- [Archon](https://everyagent.si/agent/archon): Open-source harness builder that makes AI coding deterministic and repeatable through defined workflows.
- [VoltAgent](https://everyagent.si/agent/voltagent): Open-source TypeScript agent framework and engineering platform with observability, memory and MCP.
- [AgentKit](https://everyagent.si/agent/agentkit): TypeScript toolkit from Inngest for building multi-agent networks with deterministic routing and MCP tools.
- [Composio](https://everyagent.si/agent/composio): Integration platform giving agents 1000+ toolkits with authentication, tool search and sandboxed execution.
- [Activepieces](https://everyagent.si/agent/activepieces): Open-source AI workflow automation with hundreds of MCP servers so agents can use apps as tools.
- [ElizaOS](https://everyagent.si/agent/elizaos): Open-source agentic operating system for building autonomous agents with plugins, memory and multi-platform connectors.
- [LiveKit Agents](https://everyagent.si/agent/livekit-agents): Framework for building real-time voice, video and multimodal AI agents on LiveKit infrastructure.
- [Pipecat](https://everyagent.si/agent/pipecat): Open-source framework for real-time voice agents and multimodal conversational AI.
- [Zep](https://everyagent.si/agent/zep): Memory and context engineering platform for agents built around a temporal knowledge graph.
- [OpenClaw](https://everyagent.si/agent/openclaw): Open-source personal AI assistant that runs on any OS and platform and takes actions on your behalf across chat apps and tools.
- [AgentScope](https://everyagent.si/agent/agentscope): Framework for building and running transparent, observable multi-agent applications with built-in tools and MCP support.
- [Microsoft Agent Framework](https://everyagent.si/agent/microsoft-agent-framework): Microsoft framework for building, orchestrating and deploying agents and multi-agent workflows in Python and .NET.
- [Strands Agents](https://everyagent.si/agent/strands-agents): Open-source AWS SDK for building production AI agents in Python and TypeScript with any model and any cloud.
- [DSPy](https://everyagent.si/agent/dspy): Stanford framework for programming rather than prompting language models, compiling modular LM programs and agents.
- [Haystack](https://everyagent.si/agent/haystack): Open-source AI orchestration framework from deepset for modular pipelines and agent workflows over your data.
- [SuperAGI](https://everyagent.si/agent/superagi): Developer-first open-source autonomous agent framework for building, managing and running agents.
- [BabyAGI](https://everyagent.si/agent/babyagi): Early task-driven autonomous agent framework that creates, prioritises and executes tasks toward an objective.
- [Mem0](https://everyagent.si/agent/mem0): Memory layer for AI agents and apps that stores and retrieves persistent context across sessions.
- [Letta](https://everyagent.si/agent/letta): Platform for stateful agents with advanced self-editing memory that can learn and improve over time.
- [smolagents](https://everyagent.si/agent/smolagents): Barebones Hugging Face library for agents that think and act in code, with tool and MCP support.
- [Google Agent Development Kit](https://everyagent.si/agent/google-agent-development-kit): Code-first Python toolkit from Google for building, evaluating and deploying sophisticated AI agents.
- [OpenAI Agents SDK](https://everyagent.si/agent/openai-agents-sdk): Lightweight Python framework from OpenAI for multi-agent workflows with handoffs, guardrails, tracing and MCP tools.
- [CAMEL](https://everyagent.si/agent/camel): Multi-agent framework for studying scaling laws of agents, with role-playing societies, tools and data generation.
- [Langflow](https://everyagent.si/agent/langflow): Visual tool for building and deploying AI agents and workflows, with MCP server and client support.
- [Flowise](https://everyagent.si/agent/flowise): Open-source low-code builder for creating AI agents and LLM workflows visually.
- [Dify](https://everyagent.si/agent/dify): Open-source platform for building agentic workflows and RAG pipelines in a visual workspace, deployable on cloud or self-hosted.
- [Mastra](https://everyagent.si/agent/mastra): TypeScript framework for building AI agents and workflows with memory, RAG, evals and MCP support.
- [Agno](https://everyagent.si/agent/agno): Framework and runtime for building, running and managing multi-agent systems with memory, knowledge and tools.
- [Semantic Kernel](https://everyagent.si/agent/semantic-kernel): Microsoft SDK for integrating LLMs into apps and building agents and multi-agent systems in C#, Python and Java.
- [LlamaIndex](https://everyagent.si/agent/llamaindex): Framework and platform for building document-aware agents and RAG pipelines over private and enterprise data.
- [LangGraph](https://everyagent.si/agent/langgraph): Low-level orchestration framework from LangChain for building stateful, long-running, controllable agents as graphs.
- [Figma Context MCP](https://everyagent.si/agent/figma-context-mcp): MCP server that feeds Figma layout and style data to coding agents such as Cursor for accurate design-to-code.
- [GitHub MCP Server](https://everyagent.si/agent/github-mcp-server): Official GitHub MCP server that lets AI agents read repositories, manage issues and pull requests, and automate workflows.
- [Desktop Commander MCP](https://everyagent.si/agent/desktop-commander-mcp): MCP server that gives Claude terminal control, filesystem search and diff-based file editing on your machine.
- [Serena](https://everyagent.si/agent/serena): MCP toolkit giving coding agents semantic code retrieval and editing through language servers, like an IDE for your agent.
- [Devika](https://everyagent.si/agent/devika): Open-source agentic software engineer that plans, researches the web and writes code from high-level instructions.
- [screenshot-to-code](https://everyagent.si/agent/screenshot-to-code): Converts screenshots, mockups and Figma designs into clean HTML/Tailwind, React or Vue code using vision models.
- [AutoCodeRover](https://everyagent.si/agent/autocoderover): Project-structure-aware autonomous software engineer that resolves GitHub issues using program analysis and code search.
- [Agentless](https://everyagent.si/agent/agentless): Agentless approach to automatically solving software issues through localisation, repair and patch validation without complex agent loops.
- [Trae Agent](https://everyagent.si/agent/trae-agent): LLM-based agent from ByteDance for general-purpose software engineering tasks, with a CLI, tool ecosystem and trajectory recording.
- [bolt.diy](https://everyagent.si/agent/bolt-diy): Community open-source version of Bolt.new that prompts, runs, edits and deploys full-stack web apps with any LLM.
- [Crush](https://everyagent.si/agent/crush): Terminal-first agentic coding tool from Charm with a polished TUI, multi-model support, LSP context and MCP extensibility.
- [Qwen Code](https://everyagent.si/agent/qwen-code): Open-source terminal coding agent from the Qwen team, optimised for Qwen models and compatible with OpenAI-style APIs.
- [Void](https://everyagent.si/agent/void): Open-source AI code editor built as a VS Code fork, with agent mode and direct connection to any local or hosted model.
- [Tabby](https://everyagent.si/agent/tabby): Self-hosted AI coding assistant offering code completion and chat as an on-prem alternative to GitHub Copilot.
- [ChatDev](https://everyagent.si/agent/chatdev): LLM-powered multi-agent collaboration platform where role-playing agents design, code and test software together.
- [MetaGPT](https://everyagent.si/agent/metagpt): Multi-agent framework that simulates a software company with product manager, architect and engineer roles to turn one-line requirements into projects.
- [Smol Developer](https://everyagent.si/agent/smol-developer): Library for embedding a developer agent in your own app that scaffolds whole codebases from a product spec.
- [GPT Engineer](https://everyagent.si/agent/gpt-engineer): CLI platform for experimenting with code generation from natural-language specs; the precursor to Lovable.
- [Plandex](https://everyagent.si/agent/plandex): Open-source terminal AI coding agent designed for large projects and multi-file tasks, with planning and sandboxed change review.
- [OpenCode](https://everyagent.si/agent/opencode): Open-source terminal coding agent that works with any model provider and offers a TUI, client/server mode and MCP support.
- [Kilo Code](https://everyagent.si/agent/kilo-code): Open-source agentic engineering platform and coding agent for VS Code and the CLI, supporting many models and MCP.
- [OpenAI Codex CLI](https://everyagent.si/agent/openai-codex-cli): Lightweight open-source coding agent from OpenAI that runs in your terminal to read, modify and run code in a repository.
- [Goose](https://everyagent.si/agent/goose): Extensible open-source AI agent that installs, executes, edits and tests code locally with any LLM and MCP extensions.
- [Continue](https://everyagent.si/agent/continue): Open-source coding agent and IDE extension for VS Code and JetBrains that works with any model and supports custom workflows.
- [Roo Code](https://everyagent.si/agent/roo-code): Open-source multi-agent coding assistant for VS Code with specialised modes (architect, code, debug) and MCP integration.
- [Cline](https://everyagent.si/agent/cline): Autonomous coding agent that runs as an IDE extension or CLI, editing files and running commands with human approval and MCP tool support.
- [Memory Bank MCP](https://everyagent.si/agent/memory-bank-mcp): Structured context preservation server that maintains long-term project state, rules, and architecture decisions across coding agent sessions.
- [Puppeteer MCP Server](https://everyagent.si/agent/puppeteer-mcp-server): Browser automation MCP server providing Puppeteer-driven browser navigation, screenshot captures, and web interaction for agents.
- [Notion MCP Server](https://everyagent.si/agent/notion-mcp-server): Official Notion integration for search, reading workspace pages, updating database records, and synthesizing team documentation.
- [Slack MCP Server](https://everyagent.si/agent/slack-mcp-server): MCP server allowing autonomous agents to read workspace channel histories, send messages, and monitor conversation threads.
- [Stripe MCP Server](https://everyagent.si/agent/stripe-mcp-server): Official Stripe developer tool enabling agents to inspect API endpoints, verify webhooks, and query customer billing subscriptions.
- [Cloudflare Workers MCP](https://everyagent.si/agent/cloudflare-workers-mcp): Cloudflare MCP server allowing agents to inspect KV namespaces, deploy Workers scripts, and manage D1 serverless databases.
- [Linear MCP Server](https://everyagent.si/agent/linear-mcp-server): Official Linear integration allowing AI agents to search issues, manage project boards, and update developer tickets seamlessly over MCP.
- [Sentry MCP Server](https://everyagent.si/agent/sentry-mcp-server): Official Sentry MCP server providing developers and AI coding agents access to real-time error traces, issue details, and stack traces.
- [Elasticsearch MCP Server](https://everyagent.si/agent/elasticsearch-mcp-server): Official MCP server giving agents capabilities to query Elasticsearch indices, run vector semantic searches, and inspect cluster health.
- [Neon Postgres MCP Server](https://everyagent.si/agent/neon-postgres-mcp-server): Official MCP server allowing AI agents to manage serverless Postgres databases, create branches, and execute SQL queries on Neon.
- [Google Maps MCP Server](https://everyagent.si/agent/google-maps-mcp-server): MCP server providing location search, geocoding, distance matrix calculations, and place details to AI agents.
- [SQLite MCP Server](https://everyagent.si/agent/sqlite-mcp-server): Official MCP server enabling LLMs to safely inspect schemas, run queries, and execute SQL operations on local SQLite databases.
- [ControlFlow](https://everyagent.si/agent/controlflow): Python framework for building agentic workflows with granular task-level orchestration and human oversight.
- [Firecrawl MCP Server](https://everyagent.si/agent/firecrawl-mcp-server): MCP server wrapping Firecrawl to turn entire websites into LLM-ready clean Markdown and structured data.
- [Axflow Agent Framework](https://everyagent.si/agent/axflow-agent-framework): TypeScript-native framework for building, evaluating, and streaming autonomous agent workflows.
- [Brave Search MCP](https://everyagent.si/agent/brave-search-mcp): Official MCP server integrating Brave Search API for high-quality web, news, and local search queries.
- [DuckDuckGo Search MCP](https://everyagent.si/agent/duckduckgo-search-mcp): Privacy-focused web search MCP server giving AI agents direct internet browsing capabilities without requiring API keys.
- [PydanticAI](https://everyagent.si/agent/pydanticai): Production-grade Python AI agent framework built by Pydantic for type-safe structured output generation and tool calling.
- [FastMCP Framework](https://everyagent.si/agent/fastmcp-framework): High-level Python framework designed for rapidly building, testing, and deploying Model Context Protocol (MCP) servers.
- [Supergateway MCP Proxy](https://everyagent.si/agent/supergateway-mcp-proxy): High-performance SSE-to-STDIO proxy server that allows running local MCP servers anywhere over secure WebSockets.
- [Sora Scene Conductor](https://everyagent.si/agent/sora-scene-conductor): Autonomous director agent for multi-shot video generation, temporal continuity verification, and camera keyframing.
- [PentestGPT](https://everyagent.si/agent/pentestgpt): LLM-powered agent for automated penetration testing, attack surface discovery, and exploit generation loops.
- [BrowserBase MCP](https://everyagent.si/agent/browserbase-mcp): Headless browser automation MCP server providing cloud browser sessions for web scraping and web-state interactions.
- [FinGPT Agent Suite](https://everyagent.si/agent/fingpt-agent-suite): Open-source financial agent suite for real-time market sentiment analysis, SEC filing parsing, and automated trading pipeline execution.
- [ChemCrow](https://everyagent.si/agent/chemcrow): Autonomous chemistry agent integrating 18 computational synthesis tools with built-in safety protocol verification.
- [OpenAI Swarm](https://everyagent.si/agent/openai-swarm): Lightweight, ergonomic multi-agent orchestration framework relying on stateless handoffs and functional Python routines.
- [AutoGPT](https://everyagent.si/agent/autogpt): Pioneer autonomous agent framework for chaining multi-step goal decomposition, continuous ReAct execution, and vector memory.
- [SWE-agent](https://everyagent.si/agent/swe-agent): Autonomous agent system turning LMs into software engineers using an Agent-Computer Interface (ACI) optimized for linter and file navigation.
- [Aider](https://everyagent.si/agent/aider): Command-line AI pair programming agent operating directly in local git repositories using Tree-sitter map navigation.
- [Cursor Agent](https://everyagent.si/agent/cursor-agent): Deeply integrated autonomous AI agent inside the Cursor code editor capable of multi-file speculative diff generation and background semantic indexing.
- [Hermes Agent Framework](https://everyagent.si/agent/hermes-agent-framework): Self-improving agent runtime that dynamically learns, creates skills, and optimizes execution loops based on experience.
- [Memory Knowledge Graph MCP](https://everyagent.si/agent/memory-knowledge-graph-mcp): Persistent long-term memory server using a local knowledge graph with entities, relations, and observations.
- [Sequential Thinking MCP](https://everyagent.si/agent/sequential-thinking-mcp): Dynamic reflection tool allowing agents to break complex problems into sequential, revisable thinking paths.
- [Magic UI MCP](https://everyagent.si/agent/magic-ui-mcp): UI component generation MCP server allowing AI assistants to build design-engineer quality React and Tailwind components.
- [Nile Postgres MCP](https://everyagent.si/agent/nile-postgres-mcp): Manage and query Nile serverless Postgres databases, multi-tenant schemas, and vector embeddings over MCP.
- [Search Console MCP](https://everyagent.si/agent/search-console-mcp): Unified MCP server for interacting with Google Search Console, Bing Webmaster Tools, and GA4 analytics APIs.
- [Ruflo Swarm Orchestrator](https://everyagent.si/agent/ruflo-swarm-orchestrator): Multi-agent swarm orchestration harness for deploying fault-tolerant autonomous agent workflows and vector memory.
- [Playwright MCP Server](https://everyagent.si/agent/playwright-mcp-server): Official Microsoft MCP server enabling AI agents to interact with web pages through structured accessibility snapshots.
- [agent-tackle-box](https://everyagent.si/agent/agent-tackle-box): A toolkit for developing AI agents, including agent-debugger: Terminal debugger for LangGraph & LangChain agents. Debug LLM agents with state inspection, tool calls, semantic breakpoints, and Python program stepping in…
- [AgentGuide](https://everyagent.si/agent/agentguide): AgentGuide is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by adongwanai.
- [hermes-agent](https://everyagent.si/agent/hermes-agent): The agent that grows with you
- [Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store](https://everyagent.si/agent/travel-ai-agent-react-fastapi-and-cosmos-db-vector-store): Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store is an autonomous coding agent that plans, edits and verifies repository changes maintained by jonathanscholtes.
- [turn-mcp](https://everyagent.si/agent/turn-mcp): Achieve infinite conversation turns in a single API request via turn-mcp. Self-hosted MCP server with browser console for human-in-the-loop AI agents.
- [LangChain-Tutorials](https://everyagent.si/agent/langchain-tutorials): Practical step-by-step LangChain guides
- [flakestorm](https://everyagent.si/agent/flakestorm): Flakestorm — Automated Robustness Testing for AI Agents. Stop guessing if your agent really works. FlakeStorm generates adversarial mutations and exposes failures your manual tests and evals miss.
- [eval-view](https://everyagent.si/agent/eval-view): Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.
- [designing-multiagent-systems](https://everyagent.si/agent/designing-multiagent-systems): Building LLM-Enabled Multi Agent Applications from Scratch
- [magentic-ui](https://everyagent.si/agent/magentic-ui): MagenticLite is an experimental agent that works across the browser and local file system
- [langfuse](https://everyagent.si/agent/langfuse): 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
- [autogen](https://everyagent.si/agent/autogen): A programming framework for agentic AI
- [ai-agents-for-beginners](https://everyagent.si/agent/ai-agents-for-beginners): 18 Lessons to Get Started Building AI Agents
- [markitdown](https://everyagent.si/agent/markitdown): Python tool for converting files and office documents to Markdown.
- [crewAI-tools](https://everyagent.si/agent/crewai-tools): Extend the capabilities of your CrewAI agents with Tools
- [AutoGroq](https://everyagent.si/agent/autogroq): AutoGroq is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by jgravelle.
- [awesome-multi-agent-papers](https://everyagent.si/agent/awesome-multi-agent-papers): A compilation of the best multi-agent papers
- [full-stack-ai-agent-template](https://everyagent.si/agent/full-stack-ai-agent-template): Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.
- [mcp-memory-service](https://everyagent.si/agent/mcp-memory-service): Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
- [AIWriteX](https://everyagent.si/agent/aiwritex): AIWriteX - 微信公众号全自动AI工具：全网热搜舆情聚合+趋势分析+爆款选题+文章采集+一键生成排版发布 | AI自动配图 | 去AI味、过朱雀检测 | 支持小红书/百家号/头条等多平台 | 洗稿润色支持多账号 | 专家赛道 | 小绿书贴图 | 短视频文案 | 手机控制 | 小说连载 | 爆文10w+神器
- [atmosphere](https://everyagent.si/agent/atmosphere): atmosphere is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Atmosphere.
- [agentops](https://everyagent.si/agent/agentops): agentops is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by AgentOps-AI.
- [crewAI-examples](https://everyagent.si/agent/crewai-examples): A collection of examples that show how to use CrewAI framework to automate workflows.
- [reactive-resume](https://everyagent.si/agent/reactive-resume): A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
- [codebase-memory-mcp](https://everyagent.si/agent/codebase-memory-mcp): High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
- [chrome-devtools-mcp](https://everyagent.si/agent/chrome-devtools-mcp): Chrome DevTools for coding agents
- [TrendRadar](https://everyagent.si/agent/trendradar): TrendRadar is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by sansan0.
- [context7](https://everyagent.si/agent/context7): Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
- [ruflo](https://everyagent.si/agent/ruflo): ruflo is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by ruvnet.
- [Scrapling](https://everyagent.si/agent/scrapling): Scrapling is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by D4Vinci.
- [worldmonitor](https://everyagent.si/agent/worldmonitor): Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
- [gemini-cli](https://everyagent.si/agent/gemini-cli): An open-source AI agent that brings the power of Gemini directly into your terminal.
- [n8n](https://everyagent.si/agent/n8n): Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
- [nanobot](https://everyagent.si/agent/nanobot): Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
- [cherry-studio](https://everyagent.si/agent/cherry-studio): AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
- [ai-agent-book](https://everyagent.si/agent/ai-agent-book): 《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
- [ppt-master](https://everyagent.si/agent/ppt-master-2): ppt-master is an autonomous coding agent that plans, edits and verifies repository changes maintained by hugohe3.
- [ppt-master](https://everyagent.si/agent/ppt-master): ppt-master is an autonomous coding agent that plans, edits and verifies repository changes maintained by hugohe3.
- [daily_stock_analysis](https://everyagent.si/agent/daily-stock-analysis): LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
- [career-ops](https://everyagent.si/agent/career-ops): career-ops is an autonomous coding agent that plans, edits and verifies repository changes maintained by career-ops-hq.
- [Front-End-Checklist](https://everyagent.si/agent/front-end-checklist): 🗂 The essential checklist for modern web development, for humans and AI agents
- [learn-claude-code](https://everyagent.si/agent/learn-claude-code): Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- [Agent-Reach](https://everyagent.si/agent/agent-reach): Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
- [ZeparHyfar/mcp-datetime](https://everyagent.si/agent/zeparhyfar-mcp-datetime): Date and time functions in various formats.
- [ws-mcp](https://everyagent.si/agent/ws-mcp): Wrap MCP servers with a WebSocket, for use with kibitz.
- [pyroprompts/any-chat-completions-mcp](https://everyagent.si/agent/pyroprompts-any-chat-completions-mcp): Chat with any OpenAI SDK-compatible Chat Completions API, such as Perplexity, Groq and xAI.
- [pwh-pwh/cal-mcp](https://everyagent.si/agent/pwh-pwh-cal-mcp): Evaluate mathematical expressions.
- [latex-mcp-server](https://everyagent.si/agent/latex-mcp-server): Compile LaTeX, download, organize and read cited papers, run visualization scripts and add figures and tables to LaTeX documents.
- [akseyh/bear-mcp-server](https://everyagent.si/agent/akseyh-bear-mcp-server): Read Bear notes (macOS only).
- [AbdelStark/bitcoin-mcp](https://everyagent.si/agent/abdelstark-bitcoin-mcp): Interact with Bitcoin: generate keys, validate addresses, decode transactions and query the blockchain.
- [Gaffx/volatility-mcp](https://everyagent.si/agent/gaffx-volatility-mcp): Memory forensics with Volatility 3, exposing plugins such as pslist and netscan through REST APIs.
- [thinkchainai/agentinterviewsmcp](https://everyagent.si/agent/thinkchainai-agentinterviewsmcp): Run AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage projects, recruit participants and analyze results.
- [video-creator/ffmpeg-mcp](https://everyagent.si/agent/video-creator-ffmpeg-mcp): Local video search, trimming, stitching and playback through conversation, using the ffmpeg command line.
- [last9/last9-mcp-server](https://everyagent.si/agent/last9-last9-mcp-server): Bring real-time production logs, metrics and traces from Last9 into your local environment to fix code.
- [QGIS MCP](https://everyagent.si/agent/qgis-mcp): Connects QGIS Desktop to Claude for prompt-assisted project creation, layer loading and code execution.
- [chatmcp/mcp-server-chatsum](https://everyagent.si/agent/chatmcp-mcp-server-chatsum): Query and summarize your chat messages with AI prompts.
- [lnbits/LNbits-MCP-Server](https://everyagent.si/agent/lnbits-lnbits-mcp-server): LNbits Lightning Network wallet integration.
- [finmap-org/mcp-server](https://everyagent.si/agent/finmap-org-mcp-server): Historical US, UK, Russian and Turkish stock exchange data from finmap: sectors, tickers, company profiles, market cap, volume and treemap visualizations.
- [vivekvells/mcp-pandoc](https://everyagent.si/agent/vivekvells-mcp-pandoc): Document format conversion using Pandoc: Markdown, HTML, PDF, DOCX, CSV and more.
- [valado/pantheon-mcp](https://everyagent.si/agent/valado-pantheon-mcp): Serves task-specific instructions to agents instead of static Markdown files.
- [TamarEngel/jira-github-mcp](https://everyagent.si/agent/tamarengel-jira-github-mcp): Integrates Jira and GitHub to automate developer workflows from issue tracking to branches, commits, pull requests and merges.
- [pskill9/website-downloader](https://everyagent.si/agent/pskill9-website-downloader): Download entire websites using wget, preserving their structure and converting links to work locally.
- [OpenZeppelin/contracts-wizard](https://everyagent.si/agent/openzeppelin-contracts-wizard): Generate secure smart contracts in multiple languages from OpenZeppelin Wizard templates.
- [21st-dev/Magic-MCP](https://everyagent.si/agent/21st-dev-magic-mcp): Create UI components inspired by 21st.dev design engineers.
- [planetscale/mcp](https://everyagent.si/agent/planetscale-mcp): Built into the PlanetScale CLI: direct access to your PlanetScale databases.
- [niledatabase/nile-mcp-server](https://everyagent.si/agent/niledatabase-nile-mcp-server): Manage and query Nile Postgres databases, tenants, users and auth.
- [joshuarileydev/supabase-mcp-server](https://everyagent.si/agent/joshuarileydev-supabase-mcp-server): Create and manage Supabase projects and organizations.
- [bram2w/baserow](https://everyagent.si/agent/bram2w-baserow): Baserow database integration: search and list tables, and create, read, update and delete rows.
- [alexanderzuev/supabase-mcp-server](https://everyagent.si/agent/alexanderzuev-supabase-mcp-server): Execute SQL queries and explore Supabase databases.
- [saurabhsharma2u/search-console-mcp](https://everyagent.si/agent/saurabhsharma2u-search-console-mcp): Interact with Google Search Console and Bing Webmaster Tools.
- [teddyzxcv/ntfy-mcp](https://everyagent.si/agent/teddyzxcv-ntfy-mcp): Send notifications to your phone using ntfy.
- [areweai/tsgram-mcp](https://everyagent.si/agent/areweai-tsgram-mcp): Use Claude with local workspace access from Telegram on your phone: read, write and code on the go.
- [tumf/mcp-shell-server](https://everyagent.si/agent/tumf-mcp-shell-server): Secure shell command execution.
- [maxim-saplin/mcpsafelocalpythonexecutor](https://everyagent.si/agent/maxim-saplin-mcpsafelocalpythonexecutor): maxim-saplin/mcpsafelocalpythonexecutor is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by maxim-saplin.
- [ferrislucas/iterm-mcp](https://everyagent.si/agent/ferrislucas-iterm-mcp): Access iTerm: run commands and ask questions about what is shown in the terminal.
- [automateyournetwork/pyATSMCP](https://everyagent.si/agent/automateyournetwork-pyatsmcp): Structured, model-driven interaction with network devices via Cisco pyATS.
- [microsoft/playwright-mcp](https://everyagent.si/agent/microsoft-playwright-mcp): Playwright browser automation: interact with web pages through structured accessibility snapshots.
- [thinkchainai/mcpbundles](https://everyagent.si/agent/thinkchainai-mcpbundles): Create custom tool bundles, connect providers with OAuth or API keys, and use one MCP server across many integrations, with a UI for bundles and credentials.
- [Tool Definition Quality Score (TDQS)](https://everyagent.si/agent/tool-definition-quality-score-tdqs): Tool Definition Quality Score (TDQS) is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by glama-ai.
- [time MCP Server](https://everyagent.si/agent/time-mcp-server): time MCP Server is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Model Context Protocol.
- [sequentialthinking MCP Server](https://everyagent.si/agent/sequentialthinking-mcp-server): sequentialthinking MCP Server is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Model Context Protocol.
- [memory MCP Server](https://everyagent.si/agent/memory-mcp-server): memory MCP Server is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Model Context Protocol.
- [git MCP Server](https://everyagent.si/agent/git-mcp-server): git MCP Server is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Model Context Protocol.
- [filesystem MCP Server](https://everyagent.si/agent/filesystem-mcp-server): filesystem MCP Server is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Model Context Protocol.
- [fetch MCP Server](https://everyagent.si/agent/fetch-mcp-server): fetch MCP Server is a multi-agent orchestration layer for decomposing goals into dispatched sub-tasks maintained by Model Context Protocol.
- [everything MCP Server](https://everyagent.si/agent/everything-mcp-server): Everything MCP Server **[Architecture](docs/architecture.md) | [Project Structure](docs/structure.md)
- [Claude Code](https://everyagent.si/agent/claude-code): An agentic CLI that lets Claude understand git repositories, edit files, run commands, and orchestrate complex local workflows.
- [Devin](https://everyagent.si/agent/devin): Autonomous AI software engineer that plans and executes long-horizon engineering tasks inside a sandboxed environment.
- [OpenAI Deep Research](https://everyagent.si/agent/openai-deep-research): Autonomous research agent that browses the live web, synthesises cited reports, and chains tool calls over extended horizons.
- [OpenHands](https://everyagent.si/agent/openhands): Open-source software development agent platform with a sandboxed runtime and event-stream architecture for reproducible agent runs.
- [Claude Computer Use](https://everyagent.si/agent/claude-computer-use): Multimodal computer-using agent that operates real desktop operating systems through screenshots and synthetic keyboard/mouse input.
- [DeepSeek-R1 Agentic Reasoner](https://everyagent.si/agent/deepseek-r1-agentic-reasoner): Open-weights reasoning model producing long deliberation traces that can be wrapped in an autonomous tool-calling agent loop.

## Links
- Agent directory: https://everyagent.si/
- Leaderboard: https://everyagent.si/leaderboard
- MCP registry: https://everyagent.si/mcp-registry
- Swarm dispatch: https://everyagent.si/swarm-dispatch
- Agent Oracle: https://everyagent.si/oracle
- Full specification: https://everyagent.si/llms-full.txt