Awesome LLM Agent Frameworks

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: 2026-05-03)

Frameworks

• CrewAI - Framework for orchestrating role-playing AI agents

  50,496 stars · 6,961 forks · 291 contributors · 384 issues · Python · MIT

  • Role-based agent design
  • Multi-agent collaboration
  • Flexible memory system
  • Built-in error handling

• Langchain - Building applications with LLMs through composability

  135,650 stars · 22,423 forks · 469 contributors · 556 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

  57,660 stars · 8,696 forks · 445 contributors · 798 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

  56,004 stars · 9,756 forks · 53 contributors · 546 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

  49,100 stars · 7,343 forks · 473 contributors · 313 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

  27,824 stars · 4,580 forks · 396 contributors · 275 issues · C# · MIT

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

• Dify - Open-source framework for LLM applications

  139,901 stars · 21,945 forks · 461 contributors · 802 issues · TypeScript · NOASSERTION

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

• Haystack - End-to-end NLP framework

  25,058 stars · 2,758 forks · 342 contributors · 114 issues · MDX · Apache-2.0

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

• Embedchain - Framework for ChatGPT-like bots

  54,616 stars · 6,175 forks · 309 contributors · 283 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

  19,402 stars · 3,329 forks · 270 contributors · 816 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

  17,500 stars · 2,206 forks · 62 contributors · 252 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

  4,785 stars · 359 forks · 12 contributors · 51 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

  3,181 stars · 441 forks · 41 contributors · 1 issues · Python · MIT

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

• XAgent - Autonomous LLM-based agent framework

  8,527 stars · 903 forks · 33 contributors · 62 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)

  86 stars · 104 forks · 60 contributors · 275 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

  4,785 stars · 527 forks · 16 contributors · 13 issues · Python · Apache-2.0

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

• AI Legion - Swarm framework for autonomous agents

  1,428 stars · 175 forks · 6 contributors · 9 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

  1,460 stars · 183 forks · 14 contributors · 45 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

  123 stars · 19 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

  24,406 stars · 2,180 forks · 189 contributors · 327 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

  47,784 stars · 23,485 forks · 268 contributors · 747 issues · TypeScript · NOASSERTION

  • Visual flow builder
  • Custom LLM integrations
  • API generation
  • Authentication support
  • Docker deployment- Pydantic AI - Production-grade agent framework built on Pydantic

  14,433 stars · 1,568 forks · 348 contributors · 478 issues · Python · MIT

  • Type-safe development
  • Multi-model support
  • Structured responses
  • Dependency injection
  • Logfire integration- Upsonic - Reliable agent framework that support MCP.

  7,778 stars · 717 forks · 35 contributors · 8 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

  2,608 stars · 217 forks · 24 contributors · 13 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

  848 stars · 106 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

  1,477 stars · 190 forks · 4 contributors · 7 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

  20,636 stars · 1,483 forks · 297 contributors · 366 issues · TypeScript · NOASSERTION

  • Type-safe development
  • Multi-model support, and router (GPT-4, Claude, Gemini, Llama)
  • Structured responses
  • API generation
  • MCP generation
  • Tool integration- Flappy - Production-ready LLM agent SDK

  307 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

  309 stars · 16 forks · 2 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

  484 stars · 65 forks · 24 contributors · 63 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

  46 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- Flock - Declarative multi-agent LLM orchestration using blackboard architecture and typed contracts

  87 stars · 9 forks · 9 contributors · 15 issues · Python · MIT

  • Blackboard coordination pattern
  • Easily orchestrate complex patterns like multi-output fan-out
  • Fluent DX - write complex flows in a few lines of code
  • Agents adhere to strict contracts instead of brittle natural language prompts
  • Production-grade observability and zero-trust security model- hcom - Let AI agents message, watch, and spawn each other across terminals

  189 stars · 24 forks · 3 contributors · 4 issues · Rust · MIT

  • Works with Claude Code, Gemini CLI, Codex CLI, and OpenCode
  • Agents message each other mid-turn, detect file edit collisions, read transcripts
  • Agents view terminal screens, subscribe to activity, spawn/fork/resume each other
  • TUI dashboard, cross-device relay via MQTT, Python API
  • Multi-agent workflow scripts: debates, ensemble refinement, code review watchers
  • Just prefix hcom in front of your existing tool command- everyrow - AI-powered data operations SDK for running LLM agents on pandas DataFrames

  34 stars · 4 forks · 12 contributors · 3 issues · Python · MIT

  • Screen, rank, dedupe, merge rows with natural language
  • Web research agents applied per row
  • Scales to tens of thousands of rows
  • Claude Code integration

• Axar - Minimal TypeScript agentic framework for building production-ready LLM applications

  158 stars · 14 forks · 7 contributors · 4 issues · TypeScript · Apache-2.0

  • Strongly-typed agent architecture with first-class TypeScript support
  • Decorator-based API for defining agents, tools, and workflows
  • Built-in structured I/O and validation (Zod-powered)
  • Lightweight, production-oriented design
  • Easy integration with OpenAI, Anthropic, Gemini, and other models

• PraisonAI - Production-ready Multi-AI Agents framework with self-reflection

  7,015 stars · 1,071 forks · 35 contributors · 63 issues · Python · MIT

  • 100+ LLM support via LiteLLM
  • MCP Protocol integration
  • Agentic workflows (route, parallel, loop, repeat)
  • Built-in memory (short-term, long-term, entity)
  • Self-reflection for improved responses
  • Both Python and JavaScript SDKs

• Tambo - React framework for building AI-powered applications with generative UI and MCP support

  11,150 stars · 563 forks · 57 contributors · 38 issues · TypeScript · MIT

  • Component library for AI-driven UI composition
  • MCP (Model Context Protocol) integration
  • TypeScript-first with full type safety
  • SSR compatible (Next.js, Remix, etc.)

• OpenAgents - Open-source platform for building AI agent networks with multi-protocol communication and orchestration

  3,388 stars · 319 forks · 22 contributors · 64 issues · Python · Apache-2.0

  • Multi-protocol support: WebSocket, gRPC, HTTP, MCP, A2A
  • Multi-agent orchestration with centralized and decentralized topologies
  • Compatible with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol
  • Python SDK available on PyPI

• Cordum - Safety-first agent orchestration platform with pre-dispatch policy evaluation and MCP server support

  470 stars · 25 forks · 6 contributors · 11 issues · Go · NOASSERTION

  • Pre-dispatch safety policy evaluation
  • Output scanning and quarantine
  • Job scheduling and workflow engine
  • MCP server integration
  • gRPC safety kernel

• AgentField - Open-source infrastructure for AI backends with cryptographic identity

  1,607 stars · 261 forks · 32 contributors · 76 issues · Go · Apache-2.0

  • W3C DIDs give every agent cryptographic identity
  • Guided autonomy: agents reason freely within policy boundaries
  • Async-native execution for workflows running minutes to days
  • Cross-agent discovery and RPC without pre-federation
  • Built-in memory fabric with vector search

• DeepAnalyze - Agentic LLM for autonomous data science

  4,102 stars · 668 forks · 12 contributors · 26 issues · Python · MIT

  • Agentic LLM without any predefined workflow
  • Autonomous orchestration and adaptive optimization
  • Curriculum-based agentic training in real-world environments
  • Supporting data tasks: data preparation, analysis, modeling, visualization, and reporting
  • Supporting data research: deep research across unstructured, semi-structured, and structured data

• agent-opt - Open-source optimization engine for iterative prompt refinement and agent workflow performance

  60 stars · 6 forks · 5 contributors · 0 issues · Python · Apache-2.0

  • Six optimization algorithms: Random, Bayesian, ProTeGi, Meta-Prompt, PromptWizard, GEPA
  • Flexible evaluation via heuristic metrics and LLM-as-a-judge
  • Works with any LLM provider through LiteLLM
  • Clean abstraction layer for custom optimizers and evaluators
  • Built-in logging, progress tracking, and reproducible experimentation- Agent OS - Safety-first kernel for governing autonomous AI agents with POSIX-inspired primitives

  68 stars · 20 forks · 14 contributors · 0 issues · Python · MIT

  • Policy engine with violation guarantees
  • Resource quotas and audit logging
  • Integrations with CrewAI, LangChain, AutoGen, Semantic Kernel
  • MCP server support- AgentMesh - Secure trust layer for multi-agent ecosystems with zero-trust governance

  18 stars · 6 forks · 4 contributors · 0 issues · Python · MIT

  • Ed25519 cryptographic agent identity
  • Delegation chains with bounded depth
  • HTTP trust middleware for Flask/FastAPI
  • A2A protocol compatible

• Quorum - Multi-agent AI discussion system for structured debates

  90 stars · 8 forks · 1 contributors · 1 issues · Python · NOASSERTION

  • 7 discussion methods: Standard, Oxford, Socratic, Delphi, Brainstorm, Tradeoff, Advocate
  • Multi-phase consensus: independent answers, critique, discussion, synthesis
  • Supports Claude, GPT, Gemini, Grok, and local Ollama models
  • Terminal UI with real-time streaming
  • Auto-discovery of local Ollama models

• auto-co - Autonomous AI company OS with 14 specialized agents that run a startup end-to-end

  34 stars · 7 forks · 1 contributors · 4 issues · TypeScript · MIT

  • 14 expert-persona agents: CEO (Bezos), CTO (Vogels), Critic (Munger), CFO, marketer, engineer, QA, DevOps, and more
  • Continuous bash loop — agents debate, decide, and ship real deployments autonomously
  • Shared markdown consensus file as the cross-cycle relay baton
  • Human escalation via Telegram for true blockers only
  • Repo is a live company: built its own landing page, Docker stack, and monitoring across 13 autonomous cycles