Coding & Development🌐universal
🤖 Awesome Agents
🤖 Awesome list of AI Agents
Quick Start
Install this Skill
npx skills add kyrolabs/awesome-agents# 🤖 Awesome Agents
Awesome Agents is a curated list of open-source tools and products to build AI agents.
> 🆕 **New list:** [Awesome ADE](https://github.com/kyrolabs/awesome-ade) — open-source **Agentic Development Environments**: orchestrators for running coding agents in parallel, TUI and tmux harnesses, desktop and web workspaces, worktree and container isolation. [Browse the list →](https://github.com/kyrolabs/awesome-ade)
## Table of Contents
- [🤖 Awesome Agents](#-awesome-agents)
- [Table of Contents](#table-of-contents)
- [Frameworks](#frameworks)
- [Testing and Evaluation](#testing-and-evaluation)
- [Software Development](#software-development)
- [Research](#research)
- [Conversational / General Agents](#conversational--general-agents)
- [Game / Simulation](#game--simulation)
- [Knowledge Management](#knowledge-management)
- [Automation](#automation)
- [Browser](#browser)
## Frameworks
- [OpenClaw](https://github.com/openclaw/openclaw): Open-source AI agent framework that turns LLMs into persistent, proactive personal AI agents with multi-channel messaging (Signal, Telegram, Discord, WhatsApp), cron scheduling, memory systems, MCP integration, skill plugins, sub-agent spawning, and browser automation. 
- [Hermes Agent](https://github.com/nousresearch/hermes-agent): The agent that grows with you
- [Transformers Agents](https://huggingface.co/docs/transformers/transformers_agents): Provides a natural language API on top of transformers
- [LlamaIndex](https://github.com/run-llama/llama_index): provides a central interface to connect your LLM's with external data. 
- [LangChain](https://github.com/langchain-ai/langchain): the original 🐍 
- [Botpress](https://github.com/botpress/botpress): The building blocks for building chatbots 
- [Haystack](https://github.com/deepset-ai/haystack): NLP framework to interact with your data using Transformer models and LLMs 
- [Semantic Kernel](https://github.com/microsoft/semantic-kernel): Microsoft C# SDK to integrate cutting-edge LLM technology quickly and easily into your apps 
- [AGiXT](https://github.com/Josh-XT/AGiXT): Dynamic AI agent automation platform that orchestrates instruction following and complex task management. 
- [LLM Agents](https://github.com/mpaepper/llm_agents): Build agents which are controlled by LLMs 
- [e2b](https://github.com/e2b-dev/e2b): Open-source platform for building & deploying virtual developers’ agents
- [Dust](https://github.com/dust-tt/dust): Design and Deploy Large Language Model Apps 
- [MetaGPT](https://github.com/FoundationAgents/MetaGPT): The Multi-Agent Meta Programming Framework: Given one line Requirement, return PRD, Design, Tasks, Repo and CI 
- [Lagent](https://github.com/InternLM/lagent): A lightweight framework for building LLM-based agents 
- [Autogen](https://github.com/microsoft/autogen): Enable Next-Gen Large Language Model Applications. 
- [AG2](https://github.com/ag2ai/ag2): AG2 (from AutoGen creators) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. 
- [AgentVerse](https://github.com/openbmb/agentverse) Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs 
- [Maestro](https://github.com/Doriandarko/maestro): A framework for Claude Opus to intelligently orchestrate subagents. 
- [AgentScope](https://github.com/agentscope-ai/agentscope): Start building LLM-empowered multi-agent applications in an easier way. 
- [CrewAI](https://github.com/crewAI
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