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: 2025-11-30)
-
CrewAI - Framework for orchestrating role-playing AI agents
40,899 stars · 5,474 forks · 266 contributors · 180 issues · Python · MIT
- Role-based agent design
- Multi-agent collaboration
- Flexible memory system
- Built-in error handling
-
Langchain - Building applications with LLMs through composability
120,744 stars · 19,911 forks · 470 contributors · 286 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 - Framework for building multi-agent conversational systems
52,046 stars · 7,924 forks · 446 contributors · 519 issues · Python · CC-BY-4.0
- Multi-agent architecture
- Customizable agents
- Code execution support
- Flexible human involvement
- Advanced conversation management
-
OpenManus - Open-source AI agent platform for building general-purpose agents
51,047 stars · 8,908 forks · 53 contributors · 523 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 - Data framework for LLM applications
45,525 stars · 6,574 forks · 474 contributors · 261 issues · Python · MIT
- Advanced indexing and retrieval
- Support for 160+ data sources
- Customizable RAG workflows
- Structured data handling
- Query optimization
-
Microsoft Semantic Kernel - Integration framework for AI models
26,754 stars · 4,367 forks · 384 contributors · 576 issues · C# · MIT
- Enterprise-grade security
- Multi-language support
- Plugin architecture
- Responsible AI features
- Memory management
-
Dify - Open-source framework for LLM applications
120,112 stars · 18,653 forks · 463 contributors · 662 issues · TypeScript · NOASSERTION
- Visual prompt orchestration
- Long context integration
- API-based development
- Multi-model support
- RAG pipeline
-
Haystack - End-to-end NLP framework
23,488 stars · 2,496 forks · 300 contributors · 123 issues · MDX · Apache-2.0
- Document processing
- Neural search
- Question answering
- Semantic search
- Agent capabilities
-
Embedchain - Framework for ChatGPT-like bots
43,689 stars · 4,728 forks · 245 contributors · 531 issues · Python · Apache-2.0
- Multi-source data ingestion
- Automated embedding
- Context window management
- Multiple LLM support
- RAG optimization
-
Google ADK - Agent Development Kit for building, evaluating, and deploying AI agents
15,830 stars · 2,507 forks · 204 contributors · 458 issues · Python · Apache-2.0
- Code-first development approach
- Modular multi-agent systems
- Model-agnostic and deployment-agnostic
- Built-in developer UI (adk-web)
- Deploy on Cloud Run or Vertex AI
-
SuperAGI - Open-source autonomous AI agent framework
16,902 stars · 2,121 forks · 63 contributors · 203 issues · Python · MIT
- Customizable agent workflows
- Tool creation framework
- Performance monitoring
- Resource management
- Multi-vector memory storage
-
Kiln AI - Tools for building AI products including agents, evals, RAG systems, and fine-tuning
4,432 stars · 321 forks · 12 contributors · 33 issues · Python · NOASSERTION
- Free desktop application for no-code development
- Evaluation frameworks
- RAG system building
- Synthetic data generation
- Agent development tools
-
AGiXT - Scalable framework for AI agents
3,128 stars · 439 forks · 41 contributors · 0 issues · Python · MIT
- Multi-provider support
- Chain of thought processing
- Extensible plugin system
- Command chaining
- Web UI included
-
XAgent - Autonomous LLM-based agent framework
8,465 stars · 892 forks · 33 contributors · 55 issues · Python · Apache-2.0
- Human-like planning
- Autonomous task decomposition
- Tool learning capabilities
- Advanced error recovery
- Built-in action validation
-
Neurolink - Multi-provider AI agent framework with workflow orchestration capabilities, unifying 12+ providers (OpenAI, Google, Anthropic, AWS, Azure, Groq, Together AI, Mistral, Cohere, Fireworks, Cloudflare, Ollama)
102 stars · 76 forks · 45 contributors · 29 issues · TypeScript · MIT
- Multi-agent framework with workflow orchestration
- Unified interface for 12+ AI providers
- Edge-first architecture with local/cloud deployment
- Production-grade streaming and tool calling
- Battle-tested at Juspay (15M+ requests/month)
-
OpenAgents - Open platform for language agents
4,625 stars · 503 forks · 16 contributors · 12 issues · Python · Apache-2.0
- Data analysis capabilities
- Web browsing integration
- Coding assistance
- Plugin ecosystem
- Interactive visualization
-
AI Legion - Swarm framework for autonomous agents
1,426 stars · 173 forks · 6 contributors · 8 issues · TypeScript · MIT
- Multi-agent coordination
- Dynamic task allocation
- Emergent behavior support
- Flexible agent roles
- Real-time collaboration
-
Agent Protocol - Unified interface for AI agents
1,425 stars · 171 forks · 14 contributors · 42 issues · Python · MIT
- Standardized communication
- Language-agnostic design
- Tool integration specs
- Interoperability focus
- Protocol versioning
-
Agents.js - JavaScript framework for building AI agents
- Browser-native implementation
- Event-driven architecture
- Tool abstraction layer
- Memory management
- Real-time processing- Cache-to-Cache - Novel paradigm for direct semantic communication between LLMs via KV-Cache
87 stars · 6 forks · 2 contributors · 2 issues · Python · Apache-2.0
- Direct semantic communication via KV-Cache
- Multi-agent system integration
- Neural cache projection and fusion- CAMEL - Communicative Agents for "Mind" Exploration
14,875 stars · 1,638 forks · 171 contributors · 599 issues · Python · Apache-2.0
- Role-playing framework
- Task-oriented dialogue
- Multi-agent conversations
- Behavioral analysis
- Cognitive architecture
-
BabyAGI - Lightweight framework for AI task management
- Task prioritization
- Autonomous execution
- Memory persistence
- Goal-oriented planning
- Resource optimization- Autonomous-GPT - Framework for autonomous GPT-4 agents
179,412 stars · 46,089 forks · 433 contributors · 273 issues · Python · NOASSERTION
- Internet access capabilities
- Long-term memory
- Goal-oriented behavior
- File operations
- Command execution- MetaGPT - Multi-agent framework for software development
59,615 stars · 7,299 forks · 115 contributors · 57 issues · Python · MIT
- Role-based development
- Code generation
- Project management
- Documentation writing
- Testing automation
-
GenoMAS - Multi-agent framework for scientific discovery and automated data analysis
122 stars · 18 forks · 1 contributors · 0 issues · Python · MIT
- Guided planning framework
- Typed message-passing protocol
- Heterogeneous LLM architecture
- Domain-agnostic design
- Scientific workflow automation
-
minions - Extensible framework for AI assistants
- Custom behavior definition
- Tool integration
- State management
- Event handling
- Parallel execution- ix - Autonomous agent framework
1,037 stars · 129 forks · 5 contributors · 14 issues · Python · MIT
- Visual workflow builder
- Sandbox environments
- Tool integration
- Process monitoring
- Agent collaboration- saplings - Build smarter agents using tree search
269 stars · 17 forks · 4 contributors · 0 issues · Python · Apache-2.0
- Boost reasoning abilities
- Supports popular search algorithms
- Minimal setup, 2 lines of code
-
Smolagents - Minimalist framework for building powerful agents
24,179 stars · 2,153 forks · 188 contributors · 322 issues · Python · Apache-2.0
- Code-first approach
- Multi-agent orchestration
- LLM provider flexibility
- Tool integration
- Hub integration for sharing
-
Flowise - Drag & drop UI framework for building LLM flows
46,975 stars · 23,201 forks · 265 contributors · 713 issues · TypeScript · NOASSERTION
- Visual flow builder
- Custom LLM integrations
- API generation
- Authentication support
- Docker deployment
-
Pydantic AI - Production-grade agent framework built on Pydantic
13,557 stars · 1,438 forks · 303 contributors · 375 issues · Python · MIT
- Type-safe development
- Multi-model support
- Structured responses
- Dependency injection
- Logfire integration
-
Upsonic - Reliable agent framework that support MCP.
7,720 stars · 715 forks · 33 contributors · 79 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
-
EvoAgentX - Building a Self-Evolving Ecosystem of AI Agents
2,289 stars · 169 forks · 24 contributors · 11 issues · Python · NOASSERTION
- Easy Agent and Workflow Customization
- Workflow Optimization & Self-Evolving
- Agent/workflow evolution algorithms integrated
- Execution Toolkit
-
Portia AI - Open source framework for predictable, controllable and authenticated agents.
1,141 stars · 101 forks · 26 contributors · 44 issues · Python · NOASSERTION
- Structured planning
- Stateful execution
- Human in the loop controls
- Tool catalogue with built-in auth
- MCP support
-
Agentic Radar - A security scanner for agentic workflows
823 stars · 101 forks · 8 contributors · 10 issues · Python · Apache-2.0
- Scans agentic workflow source code
- Finds vulnerabilities (CVE & OWASP)
- Generates interactive reports
- Suggests remediation steps
- Supports popular agentic workflows
-
AgentFlow - Trainable multi-agent framework with in-the-flow optimization
1,345 stars · 171 forks · 4 contributors · 4 issues · Python · MIT
- Four specialized modules (planner, executor, verifier, generator)
- Flow-GRPO reinforcement learning
- Tool integration (math, coding, scientific, search)
- Stanford research project
- Performance gains over monolithic approaches
-
Mastra - TypeScript AI agent framework with assistants, RAG, and observability
18,536 stars · 1,316 forks · 260 contributors · 347 issues · TypeScript · NOASSERTION
- Type-safe development
- Multi-model support (GPT-4, Claude, Gemini, Llama)
- Structured responses
- API generation
- Tool integration
-
Flappy - Production-ready LLM agent SDK
310 stars · 23 forks · 7 contributors · 10 issues · Rust · Apache-2.0
- Production-grade reliability
- Type-safe agent development
- Multi-language support
- Performance optimized
- Developer-friendly SDK
-
CleverBee - Deep research assistant agent with web browsing capabilities
307 stars · 16 forks · 1 contributors · 1 issues · Python · AGPL-3.0
- Interactive web UI via Chainlit
- MCP tool support for external integrations
- Multi-LLM research (configurable LLMs)
- Automated web browsing with Playwright
- Token tracking and cost estimation
-
RAI - Agentic framework for robotics using ROS 2
417 stars · 51 forks · 20 contributors · 54 issues · Python · Apache-2.0
- ROS 2 integration
- Complex action execution
- Scenario-based testing
- Voice interaction support
- Vendor-agnostic architecture
-
Floom - AI gateway and agent/pipeline marketplace
45 stars · 4 forks · 2 contributors · 0 issues · C# · MIT
- AI pipeline orchestration
- Agent marketplace integration
- Kubernetes-style architecture
- Streamlined AI integration
- DevOps-friendly deployment
-
CoreAgent - Minimalist agent framework with stateful tools
25 stars · 3 forks · 2 issues · Python
- Simplicity-first design
- Stateful tool support
- Multi-agent coordination
- Shared state management
- Built-in tools library- Project Alice - Framework and platform for building and deploying agentic workflows
253 stars · 34 forks · 1 contributors · 1 issues · Python · BSD-3-Clause
- No-code and coding interface
- Visual workflow builder
- Live demo available
- Workflow deployment platform
- Alpha stage development- AgentSquare - Automatic LLM agent search in modular design space
199 stars · 14 forks · 10 issues · HTML
- Module evolution and recombination
- Planning, Reasoning, Tool Use, Memory modules
- Adaptive agent search framework
- Unified framework for six agent tasks
- Tsinghua University research project