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Awesome Llm Agents

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Description

A curated list of awesome LLM agents frameworks.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Awesome LLM Agent Frameworks [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

A curated list of awesome LLM frameworks and agent development tools. If you have a suggestion, feel free to open an issue or pull request. (Last updated: 2026-03-15)

Frameworks

  • [CrewAI](https://github.com/joaomdmoura/crewAI) - Framework for orchestrating role-playing AI agents

    46,080 stars · 6,215 forks · 281 contributors · 479 issues · Python · MIT

    • Role-based agent design
    • Multi-agent collaboration
    • Flexible memory system
    • Built-in error handling
  • [Langchain](https://github.com/hwchase17/langchain) - Building applications with LLMs through composability

    129,501 stars · 21,341 forks · 470 contributors · 493 issues · Python · MIT

    • Modular and extensible architecture
    • Unified interface for LLMs
    • Pre-built agent toolkits
    • CSV, JSON, and SQL agents
    • Python and Pandas integration
    • Vector store capabilities
  • [Microsoft AutoGen](https://github.com/microsoft/autogen) - Framework for building multi-agent conversational systems

    55,609 stars · 8,395 forks · 445 contributors · 674 issues · Python · CC-BY-4.0

    • Multi-agent architecture
    • Customizable agents
    • Code execution support
    • Flexible human involvement
    • Advanced conversation management
  • [OpenManus](https://github.com/FoundationAgents/OpenManus) - Open-source AI agent platform for building general-purpose agents

    55,238 stars · 9,664 forks · 53 contributors · 529 issues · Python · MIT

    • Modular architecture for customization
    • Data analysis and visualization agents
    • Reinforcement learning integration (OpenManus-RL)
    • No invitation code required
    • Built by MetaGPT contributors
  • [Llama Index](https://github.com/run-llama/llama_index) - Data framework for LLM applications

    47,677 stars · 7,019 forks · 475 contributors · 269 issues · Python ·