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https://github.com/kaushikb11/awesome-llm-agents

A curated list of awesome LLM agents.
https://github.com/kaushikb11/awesome-llm-agents

List: awesome-llm-agents

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A curated list of awesome LLM agents.

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# 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: 2025-03-30)

## Frameworks

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

29,225 stars · 3,963 forks · 223 contributors · 115 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

104,562 stars · 16,916 forks · 481 contributors · 374 issues · Jupyter Notebook · 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

42,376 stars · 6,334 forks · 444 contributors · 518 issues · Python · CC-BY-4.0

- Multi-agent architecture
- Customizable agents
- Code execution support
- Flexible human involvement
- Advanced conversation management

- [Llama Index](https://github.com/run-llama/llama_index) - Data framework for LLM
applications

40,490 stars · 5,757 forks · 477 contributors · 786 issues · Python · MIT

- Advanced indexing and retrieval
- Support for 160+ data sources
- Customizable RAG workflows
- Structured data handling
- Query optimization

- [Microsoft Semantic Kernel](https://github.com/microsoft/semantic-kernel) -
Integration framework for AI models

23,752 stars · 3,644 forks · 339 contributors · 484 issues · C# · MIT

- Enterprise-grade security
- Multi-language support
- Plugin architecture
- Responsible AI features
- Memory management

- [Dify](https://github.com/langgenius/dify) - Open-source framework for LLM
applications

87,665 stars · 12,976 forks · 479 contributors · 748 issues · TypeScript · NOASSERTION

- Visual prompt orchestration
- Long context integration
- API-based development
- Multi-model support
- RAG pipeline

- [Haystack](https://github.com/deepset-ai/haystack) - End-to-end NLP framework

20,070 stars · 2,111 forks · 267 contributors · 132 issues · Python · Apache-2.0

- Document processing
- Neural search
- Question answering
- Semantic search
- Agent capabilities

- [Embedchain](https://github.com/embedchain/embedchain) - Framework for ChatGPT-like
bots

26,933 stars · 2,556 forks · 166 contributors · 281 issues · Python · Apache-2.0

- Multi-source data ingestion
- Automated embedding
- Context window management
- Multiple LLM support
- RAG optimization

- [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - Open-source autonomous AI
agent framework

16,128 stars · 1,944 forks · 62 contributors · 192 issues · Python · MIT

- Customizable agent workflows
- Tool creation framework
- Performance monitoring
- Resource management
- Multi-vector memory storage

- [AGiXT](https://github.com/Josh-XT/AGiXT) - Scalable framework for AI agents

2,952 stars · 395 forks · 39 contributors · 7 issues · Python · MIT

- Multi-provider support
- Chain of thought processing
- Extensible plugin system
- Command chaining
- Web UI included

- [XAgent](https://github.com/OpenBMB/XAgent) - Autonomous LLM-based agent framework

8,267 stars · 877 forks · 34 contributors · 52 issues · Python · Apache-2.0

- Human-like planning
- Autonomous task decomposition
- Tool learning capabilities
- Advanced error recovery
- Built-in action validation

- [OpenAgents](https://github.com/xlang-ai/OpenAgents) - Open platform for language
agents

4,203 stars · 468 forks · 16 contributors · 12 issues · Python · Apache-2.0

- Data analysis capabilities
- Web browsing integration
- Coding assistance
- Plugin ecosystem
- Interactive visualization

- [AI Legion](https://github.com/eumemic/ai-legion) - Swarm framework for autonomous
agents

1,392 stars · 163 forks · 6 contributors · 8 issues · TypeScript · MIT

- Multi-agent coordination
- Dynamic task allocation
- Emergent behavior support
- Flexible agent roles
- Real-time collaboration

- [Agent Protocol](https://github.com/e2b-dev/agent-protocol) - Unified interface for AI
agents

1,151 stars · 140 forks · 15 contributors · 37 issues · Python · MIT

- Standardized communication
- Language-agnostic design
- Tool integration specs
- Interoperability focus
- Protocol versioning

- [Agents.js](https://github.com/Webgburnet/Agents.js) - JavaScript framework for
building AI agents

- Browser-native implementation
- Event-driven architecture
- Tool abstraction layer
- Memory management
- Real-time processing- [CAMEL](https://github.com/camel-ai/camel) - Communicative Agents for "Mind"
Exploration

6,380 stars · 762 forks · 76 contributors · 305 issues · Python · Apache-2.0

- Role-playing framework
- Task-oriented dialogue
- Multi-agent conversations
- Behavioral analysis
- Cognitive architecture- [BabyAGI](https://github.com/yoheinakajima/babyagi) - Lightweight framework for AI
task management

- Task prioritization
- Autonomous execution
- Memory persistence
- Goal-oriented planning
- Resource optimization- [Autonomous-GPT](https://github.com/Significant-Gravitas/Auto-GPT) - Framework for
autonomous GPT-4 agents

171,792 stars · 45,107 forks · 438 contributors · 201 issues · Python · NOASSERTION

- Internet access capabilities
- Long-term memory
- Goal-oriented behavior
- File operations
- Command execution- [MetaGPT](https://github.com/geekan/MetaGPT) - Multi-agent framework for software
development

52,472 stars · 6,208 forks · 116 contributors · 89 issues · Python · MIT

- Role-based development
- Code generation
- Project management
- Documentation writing
- Testing automation
- [minions](https://github.com/getminions/minions) - Extensible framework for AI
assistants

- Custom behavior definition
- Tool integration
- State management
- Event handling
- Parallel execution- [ix](https://github.com/kreneskyp/ix) - Autonomous agent framework

1,018 stars · 125 forks · 5 contributors · 14 issues · Python · MIT

- Visual workflow builder
- Sandbox environments
- Tool integration
- Process monitoring
- Agent collaboration- [saplings](https://github.com/shobrook/saplings) - Build smarter agents using tree
search

230 stars · 13 forks · 3 contributors · 2 issues · Python · Apache-2.0

- Boost reasoning abilities
- Supports popular search algorithms
- Minimal setup, 2 lines of code
- [Smolagents](https://github.com/huggingface/smolagents) - Minimalist framework for
building powerful agents

15,985 stars · 1,412 forks · 121 contributors · 208 issues · Python · Apache-2.0

- Code-first approach
- Multi-agent orchestration
- LLM provider flexibility
- Tool integration
- Hub integration for sharing

- [Flowise](https://github.com/FlowiseAI/Flowise) - Drag & drop UI framework for
building LLM flows

36,701 stars · 19,132 forks · 200 contributors · 561 issues · TypeScript · Apache-2.0

- Visual flow builder
- Custom LLM integrations
- API generation
- Authentication support
- Docker deployment

- [Pydantic AI](https://github.com/pydantic/pydantic-ai) - Production-grade agent
framework built on Pydantic

7,847 stars · 674 forks · 82 contributors · 216 issues · Python · MIT

- Type-safe development
- Multi-model support
- Structured responses
- Dependency injection
- Logfire integration

- [Upsonic](https://github.com/upsonic/upsonic) - Reliable agent framework that
support MCP.

7,159 stars · 671 forks · 26 contributors · 40 issues · Python · MIT

- Easy-to-activate reliability layers
- Model Context Protocol (MCP)
- Integrated Browser Use and Computer Use
- Isolated environment to run agents
- Task-Centric Design