Install
$ agentstack add mcp-aloth-awesome-ai-agents ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Awesome AI Agents [](https://awesome.re)
> A curated list of AI agent frameworks, tools, platforms, research papers, and resources.
AI Agents are autonomous systems that use LLMs to reason, plan, and take actions. This list tracks the rapidly evolving ecosystem.
Contributing: Want to add a project? Open a suggestion or [submit a PR](CONTRIBUTING.md) directly.
Contents
- [Frameworks & Libraries](#frameworks--libraries)
- [Platforms & Low-Code](#platforms--low-code)
- [Agent Infrastructure](#agent-infrastructure)
- [Evaluation & Testing](#evaluation--testing)
- [Safety & Governance](#safety--governance)
- [Research Papers](#research-papers)
- [Tutorials & Courses](#tutorials--courses)
- [Use Cases & Case Studies](#use-cases--case-studies)
- [Community](#community)
Frameworks & Libraries
Multi-Agent Orchestration
- AG2 — Successor to AutoGen. Multi-agent framework with improved APIs.
- Agent Swarm — Multi-agent orchestration for AI coding assistants (Claude Code, Codex, Gemini CLI). Lead/worker coordination with Docker isolation, compounding memory, and Slack/GitHub integration.
- AgentField — Open-source control plane that makes AI agents callable as microservices. Routing, coordination, memory, async execution, and cryptographic audit trails. Supports Python, Go, and TypeScript.
- AgentScope — Alibaba's production-ready agent framework with essential abstractions, built-in fine-tuning support, and a visual drag-and-drop interface.
- Agno — Programming language for agentic software. Build and manage multi-agent systems at scale.
- AutoGen — Microsoft's multi-agent conversation framework. Supports complex agent topologies.
- CAMEL — Communicative agents for role-playing and multi-agent cooperation. First LLM multi-agent framework.
- CopilotKit — Frontend stack for building agent-powered apps with Generative UI. React, Angular, and mobile support; creators of the AG-UI Protocol (adopted by Google, LangChain, AWS, Microsoft, Mastra, and PydanticAI). MIT.
- CrewAI — Role-based multi-agent framework. Agents with roles, goals, and backstories.
- DeerFlow — ByteDance's open-source long-horizon SuperAgent harness. Orchestrates sub-agents, sandboxes, memory, tools, and skills for tasks spanning minutes to hours. Hit #1 GitHub Trending with v2.0 (Feb 2026).
- dimos — Agentic operating system for physical space. Build multi-agent systems that control humanoids, quadrupeds, drones, and other hardware via natural language.
- Google Agent Development Kit (ADK) — Google's open-source, code-first Python framework for building multi-agent systems with A2A support.
- Harmonist — Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
- LangGraph — Stateful agent workflows as graphs. Part of the LangChain ecosystem.
- Mastra — TypeScript-first AI agent framework with workflows, RAG, and integrations.
- MetaGPT — Multi-agent framework that mimics a software company with roles (PM, architect, engineer).
- Microsoft Agent Framework — Framework for building, orchestrating and deploying multi-agent workflows (Python + .NET).
- MiroFish — Concise and universal swarm intelligence engine for forecasting and prediction. Upload seed material, describe goals in natural language, get a detailed prediction report and an interactive simulation.
- OpenAI Agents SDK — OpenAI's production framework for multi-agent orchestration with handoffs and guardrails.
- Ruflo — Agent orchestration platform optimized for Claude. Features self-learning swarms, distributed intelligence, RAG integration, and native Claude Code/Codex integration. Formerly claude-flow.
- Semantic Kernel — Microsoft's SDK for AI orchestration. Plugins, planners, and memory.
- Strands Agents — AWS's model-driven, open-source SDK for building production AI agents in Python and TypeScript. Any model, any cloud, with MCP support and 23M+ monthly PyPI downloads. Apache-2.0.
- Swarm — OpenAI's lightweight multi-agent framework (educational).
Single Agent
- Claude Agent SDK — Anthropic's production SDK for building AI agents powered by Claude. Stateful sessions, tool execution, sandboxing, and streaming. Available in Python and TypeScript.
- GenericAgent — Self-evolving agent that grows its own skill tree from ~3K lines of seed code. 9 atomic tools for full system control (browser, terminal, filesystem, screen vision) with automatic skill crystallization.
- Haystack — End-to-end NLP framework with agent pipelines.
- Instructor — Structured output from LLMs. Essential for reliable tool use.
- LangChain — The most popular LLM application framework. Agents, chains, tools.
- LlamaIndex — Data framework for LLM apps. Strong RAG and data agent support.
- PydanticAI — GenAI agent framework, the Pydantic way. Type-safe and production-ready.
- smolagents — Hugging Face's lightweight agent library. ~1,000 lines of focused code, easy to understand and extend.
Code Agents
- Aider — AI pair programming in the terminal.
- Claude Code — Anthropic's agentic coding tool. Terminal-based, strong at complex refactors and multi-file changes.
- Codex — OpenAI's cloud-based coding agent. Runs tasks in sandboxed environments, integrates with GitHub.
- Cursor — AI-first code editor with agent capabilities.
- Devin — Cognition's autonomous software engineer. Full environment with browser, editor, and terminal.
- Gemini CLI — Open-source AI agent bringing Gemini directly into your terminal.
- GitHub Copilot — AI pair programmer with agent mode for multi-file edits, terminal commands, and autonomous task execution.
- Goose — Block's open-source extensible AI agent for full-cycle development. Desktop app, CLI, and API with native MCP support, 70+ extensions, and LLM-agnostic design. Now under the Linux Foundation's Agentic AI Foundation (AAIF).
- Kiro — AWS's spec-driven AI coding IDE. Three-phase Specify, Plan, Execute workflow.
- mini-coding-agent — Sebastian Raschka's minimal, readable Python coding agent harness. Explains the core components of coding agents in a small, hackable codebase.
- OpenClacky — Token-efficient open-source AI coding agent with prompt caching, 16 core tools, and skill extensions. MIT.
- OpenCode — Open-source terminal-native AI coding agent built in Go by SST. 160K+ stars, 7.5M monthly developers. Works in terminal, IDE, or desktop with any LLM.
- Open SWE — LangChain's open-source async cloud coding agent. Connects to GitHub repos, delegates tasks from issues via Slack or Linear.
- OpenHands — AI software development agent (formerly OpenDevin).
- OpenHands Software Agent SDK — Modular Python SDK for building code agents. Local or ephemeral workspaces, composable tools, powers OpenHands CLI and Cloud.
- Qwen Code — Alibaba's open-source terminal-native AI coding agent. Powered by Qwen models with MCP support, 25K+ stars, and Apache-2.0 license.
- SWE-agent — Princeton's software engineering agent.
- Windsurf — AI-native IDE by Codeium with agentic Cascade flows.
Personal AI Agents
- CoPaw — Alibaba's open-source personal AI agent workstation. Supports multi-channel workflows, MCP skills, local/cloud LLMs, and persistent memory.
- Hermes Agent — Nous Research's open-source self-improving personal AI agent. Closed learning loop, multi-platform gateway (Telegram, Discord, Slack, WhatsApp, Signal), MCP integration, and cron scheduling.
- Mercury Agent — Soul-driven personal AI agent with permission-hardened tools, token budgets, and multi-channel access (CLI or Telegram). MIT.
- nanobot — HKU Data Science Lab's ultra-lightweight personal AI agent. Keeps the core small and readable while shipping a full workbench: WebUI, sustained goals, MCP, image generation, multi-channel (Telegram, Signal, Matrix), and multi-provider model routing. Released v0.2.1 (June 2026).
- OpenHuman — Local-first personal AI agent with 118 OAuth integrations, hierarchical memory tree, and TokenJuice compression. Runs entirely on-device.
- OpenClaw — Open-source personal AI agent with tool use, browser control, messaging integration, and persistent memory.
- QwenPaw — Alibaba's Qwen-powered personal AI agent workstation. Local or cloud deployment, multi-agent collaboration with sub-agent spawning, extensible skill system, and broad channel support (DingTalk, Feishu, WeChat, Discord, Telegram). MIT.
- Trustclaw — ComposioHQ's self-hostable personal AI agent with vector memory, native Composio tool integrations, and a Telegram front-end. MIT.
Browser Agents
- Browser Use — Control browsers with AI agents. Most popular browser automation framework.
- Playwright MCP — Anthropic's browser automation via MCP.
- Stagehand — AI-powered browser automation framework by Browserbase.
- UI-TARS Desktop — ByteDance's multimodal AI agent stack for desktop automation.
Research Agents
- GPT Researcher — Autonomous agent for deep research on any topic using any LLM.
- autoresearch — Andrej Karpathy's open-source framework for running AI agents that autonomously conduct research on single-GPU model training experiments overnight.
- Perplexica — Open-source AI-powered answering engine (Perplexity alternative).
Platforms & Low-Code
- Activepieces — Open-source AI workflow automation with 400+ MCP servers for agents.
- Amazon Bedrock Agents — AWS managed agent service.
- AnythingLLM — All-in-one desktop & Docker AI app with built-in RAG, agents, and MCP.
- Anthropic Claude + Tool Use — Claude's function calling and agent capabilities.
- Claude Managed Agents — Anthropic's hosted agent execution environment (public beta, April 2026). Stateful sessions, built-in sandboxing, and tool execution without managing your own infrastructure.
- Azure AI Foundry — Full-stack AI platform with agent capabilities.
- Composio — 1000+ toolkits, auth management, and sandboxed workbench for AI agents.
- Dify — Open-source LLMOps platform with visual agent builder.
- Google Vertex AI Agent Builder — Google Cloud's agent development platform.
- MaxKB — Open-source platform for building enterprise-grade agents.
- Microsoft Copilot Studio — Low-code agent builder. Integrates with M365, Dynamics, Power Platform.
- n8n — Workflow automation with native AI agent capabilities and MCP support.
- Open Design — Open-source vibe design workspace where your coding agent becomes the design engine. Prototypes, landing pages, dashboards, slides, images, and video with HTML/PDF/PPTX/MP4 export. Supports Claude Code, Codex, Cursor, Gemini, OpenCode, and 20+ CLIs. Apache-2.0.
- OpenAI Assistants API — OpenAI's managed agent platform with tools and retrieval.
- Relevance AI — No-code AI agent platform.
- Trigger.dev — Build and deploy fully-managed AI agents and workflows.
Agent Infrastructure
Tool Protocols
- Agent2Agent Protocol (A2A) — Google's open protocol for agent-to-agent communication and discovery. Linux Foundation project.
- Context7 — MCP server for up-to-date code documentation for LLMs.
- GitHub MCP Server — GitHub's official MCP server for AI agents.
- Model Context Protocol (MCP) — Anthropic's standard for connecting AI to tools and data.
- OpenAI Function Calling — De facto standard for LLM tool use.
Agent Skills & Tools
- codegraph — Pre-indexed code knowledge graph for coding agents (Claude Code, Codex, Cursor, Gemini CLI). Fewer tokens, fewer tool calls, 100% local.
- dotnet/skills — Microsoft .NET team's curated skills and custom agents for AI coding agents. Core .NET, EF data access, diagnostics, MSBuild, and NuGet plugins.
- ECC — Agent harness performance system for Claude Code, Cursor, Codex, OpenCode, Gemini, and Zed. Ships 63 specialized agents, 251 skills, continuous learning with session memory hooks, and AgentShield security hardening. MIT.
- Google Agents CLI — CLI and skill pack that turns any coding assistant (Claude Code, Codex, Gemini CLI, Cursor) into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
- NotFair — Open-source Claude Code agent skills for SEO and paid ads, connecting to live da
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Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: aloth
- Source: aloth/awesome-ai-agents
- License: CC0-1.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.