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
agents langchain llm
Last synced: about 2 months ago
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A curated list of awesome LLM agents.
- Host: GitHub
- URL: https://github.com/kaushikb11/awesome-llm-agents
- Owner: kaushikb11
- Created: 2023-04-04T10:22:43.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-18T07:01:55.000Z (about 1 year ago)
- Last Synced: 2024-05-19T19:01:31.123Z (about 1 year ago)
- Topics: agents, langchain, llm
- Homepage:
- Size: 4.88 KB
- Stars: 338
- Watchers: 10
- Forks: 23
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# Awesome LLM Agent Frameworks [](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 agents29,225 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 composability104,562 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 systems42,376 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
applications40,490 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 models23,752 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
applications87,665 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
bots26,933 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 framework16,128 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
agents4,203 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
agents1,392 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
agents1,151 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"
Exploration6,380 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 agents171,792 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
development52,472 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 framework1,018 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
search230 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 agents15,985 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 flows36,701 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 Pydantic7,847 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