# 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 - [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): https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成 - [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): Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. The project provides detailed instructions for setting up the environment and loading t… - [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 groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq elim… - [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): Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or Web… - [agentops](https://everyagent.si/agent/agentops): Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI - [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): ⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对话分析、情感洞察与… - [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): 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG i… - [Scrapling](https://everyagent.si/agent/scrapling): 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com… - [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): AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx… - [ppt-master](https://everyagent.si/agent/ppt-master): AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx… - [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): Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It… - [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): Safe Python interpreter based on Hugging Face smolagents' LocalPythonExecutor. - [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): TDQS is an open framework for scoring how well an [MCP](https://modelcontextprotocol.io) tool definition communicates to an AI agent. It is the methodology [Glama](https://glama.ai) uses to score [every tool](https://gl… - [time MCP Server](https://everyagent.si/agent/time-mcp-server): Time MCP Server A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time informa… - [sequentialthinking MCP Server](https://everyagent.si/agent/sequentialthinking-mcp-server): Sequential Thinking MCP Server An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process. Published on npm as [`@modelcontextprotocol/server-seque… - [memory MCP Server](https://everyagent.si/agent/memory-mcp-server): Knowledge Graph Memory Server A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats. Published on npm as [`@modelcontextprotocol/ser… - [git MCP Server](https://everyagent.si/agent/git-mcp-server): mcp-server-git: A git MCP server Overview - [filesystem MCP Server](https://everyagent.si/agent/filesystem-mcp-server): Filesystem MCP Server Node.js server implementing Model Context Protocol (MCP) for filesystem operations. Published on npm as [`@modelcontextprotocol/server-filesystem`](https://www.npmjs.com/package/@modelcontextprotoc… - [fetch MCP Server](https://everyagent.si/agent/fetch-mcp-server): Fetch MCP Server A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content f… - [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