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Awesome Agent Evolution Awesome

AI Agent self-evolution, memory systems, autonomous self-improvement, and the infrastructure that powers them.

Contents

Taxonomy

graph LR
    Root["Agent Evolution"] --> SingleAgent["Single-Agent<br/>Optimization"]
    Root --> Infrastructure["Infrastructure<br/>& Protocols"]

    SingleAgent --> Evolution["Self-Evolution<br/>& Self-Improvement"]
    SingleAgent --> Memory["Memory<br/>Systems"]
    SingleAgent --> PromptOpt["Prompt & Behaviour<br/>Optimization"]

    Infrastructure --> Protocols["A2A & MCP<br/>Protocols"]
    Infrastructure --> Platforms["Agent Development<br/>Platforms"]
    Infrastructure --> Coding["Agent Coding &<br/>Software Engineering"]
    Infrastructure --> Safety["Agent Safety<br/>& Guardrails"]
    Infrastructure --> Embodied["Embodied AI<br/>& Device Control"]
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Agent Evolution and Self-Improvement

Projects focused on enabling AI agents to evolve, learn, and improve autonomously.

  • Eliza - Autonomous agents for everyone. A framework for creating and deploying AI agents that evolve over time. by @elizaOS (19,168 stars)
  • Agent Zero - General-purpose AI agent framework that learns and evolves through interaction. by @agent0ai (18,969 stars)
  • SuperAGI - A dev-first open source autonomous AI agent framework. Build, manage and run self-improving autonomous agents. by @TransformerOptimus (17,660 stars)
  • evolver - The GEP-powered self-evolution engine for AI agents. Genome Evolution Protocol enables agents to evolve autonomously via mutation and selection. by @EvoMap (9,005 stars)
  • OpenEvolve - Open-source evolutionary coding agent inspired by AlphaEvolve. Evolves code solutions through LLM-driven mutation and selection. by @algorithmicsuperintelligence (7,269 stars)
  • Agents (aiwaves) - An open-source framework for data-centric, self-evolving autonomous language agents. by @aiwaves-cn (5,957 stars)
  • EvoAgentX - Automated framework for evolving agentic workflows. Optimizes agent prompts, tools, and pipelines via evolutionary algorithms. by @ANative-Lab (3,253 stars)
  • HyperAgents - Self-referential self-improving agents by Meta. DGM-Hyperagents add an optimization layer so agents edit their own improvement process. by @facebookresearch (2,696 stars)
  • SIA - Self-improving AI framework that autonomously optimizes the performance of any AI system through iterative evaluation and refinement. by @hexo-ai (2,122 stars)
  • Orkas - Local-first multi-agent desktop application whose specialist agents improve through reflection and crystallize successful approaches into private reusable skills. by @Orkas-AI (1,545 stars)
  • Agent0 - Self-evolving agent framework from UNC/Salesforce/Stanford. Improves without human-curated datasets via curriculum and executor agent competition. by @aiming-lab (1,254 stars)
  • Ouroboros - Self-creating AI agent that writes its own code and evolves autonomously. Completed 30+ evolution cycles in first 24 hours with zero human intervention. by @razzant (1,228 stars)
  • agent-qa - Self-improving QA agent for natural-language web and mobile tests, using persistent run memory to adapt to UI changes and catch regressions. Source-available under FSL-1.1-ALv2: use is permitted except to provide a competing commercial product or service, and each release converts to Apache-2.0 after two years. by @vostride (896 stars)
  • A-Evolve - The PyTorch for Agentic AI. Open-source infrastructure that evolves any agent across any domain with zero human intervention. #1 on MCP-Atlas (79.4%). by @A-EVO-Lab (752 stars)
  • OpenProgram - Self-programming AI agent framework whose agents create, run, and refine their own workflows while the runtime manages models, tools, memory, context, and multi-agent collaboration. by @Fzkuji (324 stars)
  • SEAgent - Self-Evolving Computer Use Agent with Autonomous Learning from Experience. by @SunzeY (263 stars)

Memory Systems

Vector, graph, episodic, and hybrid memory architectures for persistent agent cognition.

  • Mem0 - Production-ready AI agent memory with scalable long-term memory. 26% improvement over baseline on LOCOMO benchmark with 91% latency reduction. by @mem0ai (64,055 stars)
  • Cognee - Knowledge engine for AI agent memory. Build and query knowledge graphs from unstructured data in 6 lines of code. by @topoteretes (30,268 stars)
  • agentmemory - Persistent, benchmark-tuned memory for coding agents (Claude Code, Cursor, Copilot CLI, Codex, and any MCP client). Remembers context across sessions so you stop re-explaining. by @rohitg00 (27,433 stars)
  • TencentDB Agent Memory - Fully local long-term memory for AI agents via a four-tier progressive storage architecture, from Tencent Cloud. by @TencentCloud (24,503 stars)
  • Letta - Platform for building stateful agents with advanced self-editing memory. Formerly MemGPT. by @letta-ai (24,442 stars)
  • Memvid - Single-file memory layer for AI Agents in Rust. +35% SOTA on LoCoMo with ultra-low latency (0.025ms P50). by @memvid (16,448 stars)
  • memU - Memory system for 24/7 proactive agents. Persistent memory across sessions and platforms. by @NevaMind-AI (14,347 stars)
  • EverMemOS - Long-term memory for 24/7 AI agents across LLMs and platforms. by @EverMind-AI (12,430 stars)
  • holaOS - Agent environment for long-horizon work, continuity, and self-evolution. by @holaboss-ai (10,871 stars)
  • ChatLab - Rediscover your social memories with local, AI-powered analysis. 本地化的聊天记录分析工具，通过 AI Agent 回顾你的社交记忆。. by @ChatLab (7,246 stars)
  • honcho - Memory library for building stateful agents with user context management. by @plastic-labs (6,842 stars)
  • memgraph - High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++. by @memgraph (4,361 stars)
  • Acontext - Open-source skill memory layer for AI agents. Automatically captures learnings from agent runs and stores them as reusable skill files. by @memodb-io (3,677 stars)
  • ReMe - Memory management kit for agents. File-based and vector-based memory systems. SOTA on LoCoMo and HaluMem benchmarks. by @agentscope-ai (3,352 stars)
  • MemMachine - Universal memory layer for AI agents. Episodic (graph-based), profile (SQL), and working memory with scalable storage and retrieval. by @MemMachine (3,201 stars)
  • datachain - Operational data context layer for AI agents providing typed and versioned datasets over multimodal content. by @datachain-ai (2,811 stars)
  • nocturne_memory - Lightweight, rollbackable Long-Term Memory Server for MCP Agents with graph-like structured memory. by @Dataojitori (1,331 stars)
  • Mem9 - Unlimited persistent memory layer for AI agents. Cloud-synced memory across sessions and tools. by @mem9-ai (1,200 stars)
  • Awesome-AI-Memory - Curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and system design. by @IAAR-Shanghai (1,179 stars)
  • Awesome-Agent-Memory - Curated systems, benchmarks, and papers on memory for LLMs/MLLMs -- long-term context, retrieval, and reasoning. by @TeleAI-UAGI (607 stars)
  • MemSkill - Learning and evolving memory skills for self-evolving agents. Meta-memory that determines what to extract, remember, and forget. by @ViktorAxelsen (565 stars)
  • TeleMem - High-performance drop-in Mem0 replacement. 19% higher accuracy, 43% fewer tokens, and 2.1x speedup via narrative dynamic extraction. by @TeleAI-UAGI (486 stars)

Agent-to-Agent Protocols

Standards and protocols for inter-agent communication and interoperability.

  • Google A2A - Google's open Agent-to-Agent protocol. Enables agent discovery, secure collaboration, and long-running tasks while preserving agent opacity. by @a2aproject (25,496 stars)
  • mcp-use - The fullstack MCP framework to develop MCP Apps for ChatGPT/Claude and MCP Servers for AI Agents. by @mcp-use (10,526 stars)
  • openagent - Enterprise AI platform with MCP and A2A protocol management, knowledge base, and admin interface. by @the-open-agent (5,567 stars)
  • ViteMCP - A TypeScript framework for building MCP servers. by @punkpeye (3,254 stars)
  • arcade-mcp - MCP server framework and tool-development library for building custom agent capabilities and authenticated tool calls. by @ArcadeAI (1,010 stars)
  • A2A x402 - A2A protocol extension adding x402 on-chain payments, letting agents monetize services over Agent-to-Agent calls. by @google-agentic-commerce (553 stars)
  • GEP MCP Server - MCP Server for Genome Evolution Protocol. Exposes evolution tools to Claude Desktop, Cursor, and any MCP client. by @EvoMap (6 stars)

Agent Development Platforms

Platforms and tools for building, deploying, and managing AI agents.

  • dify - Production-ready platform for building agentic AI workflows with visual orchestration. by @langgenius (153,529 stars)
  • LangChain - Full-stack agent engineering platform with composable chains, tools, and memory integration. by @langchain-ai (145,010 stars)
  • OpenHands - Open platform for AI software developers as generalist agents. Autonomous coding, debugging, and deployment. by @OpenHands (85,122 stars)
  • CowAgent - Super AI assistant based on LLMs with autonomous thinking, task planning, skill creation, and long-term memory. by @zhayujie (46,678 stars)
  • agno - Production-ready agent framework that turns agents into deployable services with multi-framework support. by @agno-agi (41,928 stars)
  • langgraph - Build resilient language agents as stateful graphs with persistence and streaming. by @langchain-ai (40,466 stars)
  • CoPaw - Co Personal Agent Workstation built on AgentScope. Desktop agent platform with multi-agent collaboration and tool integration. by @agentscope-ai (34,476 stars)
  • mastra - TypeScript framework for building AI-powered applications with agent workflows and RAG. by @mastra-ai (27,477 stars)
  • AgenticSeek - Fully local autonomous agent with browsing, coding, and multi-agent capabilities. No API keys required. by @Fosowl (27,017 stars)
  • haystack - Open-source AI orchestration framework for building context-engineered production applications. by @deepset-ai (26,318 stars)
  • Coze Studio - AI agent development platform with visual tools for creating, debugging, and deploying agents. by @coze-dev (21,503 stars)
  • Google ADK - Open-source Python toolkit by Google for building, evaluating, and deploying sophisticated AI agents. by @google (21,290 stars)
  • PydanticAI - Type-safe AI agent framework built on Pydantic with structured outputs and dependency injection. by @pydantic (19,502 stars)
  • Parlant - The conversational control layer for customer-facing AI agents. A context-engineering framework for controlling interactions. by @emcie-co (18,269 stars)
  • OpenFang - Open-source Agent Operating System for deploying and managing AI agents. by @RightNow-AI (18,136 stars)
  • agents - Framework for building realtime voice AI agents with speech-to-speech pipelines. by @livekit (13,166 stars)
  • ten-framework - Open-source framework for building conversational voice AI agents. by @TEN-framework (11,081 stars)
  • Agent-Squad - Flexible framework for managing multiple AI agents and handling complex conversations. by @2FastLabs (7,747 stars)
  • PySpur - Visual playground for agentic workflows with rapid iteration on multi-agent pipelines. by @PySpur-Dev (5,778 stars)
  • MS-Agent - Lightweight framework by ModelScope to empower agentic execution of complex tasks with memory and deep research. by @modelscope (4,368 stars)

Agent Coding and Software Engineering

AI agents that write, debug, and maintain code autonomously.

  • Claude Code - Terminal-native agentic coding tool from Anthropic. Understands your codebase and executes tasks through natural language. by @anthropics (143,032 stars)
  • Codex - Lightweight coding agent from OpenAI written in Rust. Runs locally as CLI, IDE extension, or desktop app. by @OpenAI (118,373 stars)
  • Pi - Self-extensible coding agent and agent harness. Bundles an interactive coding CLI, an agent runtime with tool calling and state, and a unified multi-provider LLM API. by @earendil-works (97,415 stars)
  • agent-skills - Production-grade engineering skills and best practices for AI coding agents. by @addyosmani (89,814 stars)
  • Taste-Skill - High-Agency frontend skill that helps AI generate less generic, more tasteful outputs. by @Leonxlnx (80,671 stars)
  • Cline - Autonomous coding agent available as an IDE extension, CLI, or SDK. Plans and executes multi-step edits with human-in-the-loop approval. by @cline (66,858 stars)
  • goose - Open-source extensible AI coding agent that goes beyond code suggestions. by @aaif-goose (53,480 stars)
  • Aider - AI pair programming in your terminal. Edit code with LLMs across 100+ languages with deep Git integration. by @Aider-AI (48,494 stars)
  • Qwen Code - Open-source AI coding agent that lives in your terminal, optimized for Qwen-Coder models. by @QwenLM (27,384 stars)
  • context-mode - Context window optimization tool for AI coding agents with sandboxed tool output and 98% token reduction. by @mksglu (20,147 stars)
  • SWE-Agent - Automatically fix GitHub issues and handle cybersecurity challenges. State-of-the-art on SWE-bench. by @SWE-agent (20,142 stars)
  • Devika - The first open-source implementation of an Agentic Software Engineer. An open-source alternative to Devin. by @stitionai (19,560 stars)
  • Plandex - Open-source AI coding agent designed for large projects and complex real-world tasks with persistent context. by @plandex-ai (15,596 stars)
  • Trae Agent - LLM-based agent by ByteDance for general-purpose software engineering tasks. by @bytedance (12,055 stars)
  • Open SWE - Open-source asynchronous coding agent by LangChain for software engineering tasks. by @langchain-ai (10,615 stars)
  • Mini-SWE-Agent - The 100-line AI agent that solves GitHub issues. Radically simple but scores >74% on SWE-bench verified. by @SWE-agent (6,757 stars)
  • Reflexion - Language agents with verbal reinforcement learning. Agents that learn from mistakes through self-reflection. by @noahshinn (3,242 stars)
  • Autohand Code - Self-evolving coding agent that runs in your terminal. by @autohandai (181 stars)

Multi-Agent Frameworks

Multi-agent frameworks and collaborative agent systems that are relevant to agent evolution and infrastructure.

  • MetaGPT - Multi-agent framework that assigns roles to GPTs to form a collaborative software entity. by @FoundationAgents (70,036 stars)
  • autogen - Programming framework for building agentic AI systems with multi-agent conversations. by @microsoft (60,632 stars)
  • crewAI - Framework for orchestrating role-playing autonomous AI agents for collaborative task execution. by @crewAIInc (57,616 stars)
  • Vibe-Trading - Personal trading agent for multi-agent market analysis and backtesting. by @HKUDS (31,723 stars)
  • agentscope - Multi-agent platform for building agents you can see, understand and trust. by @agentscope-ai (29,626 stars)
  • openai-agents-python - Lightweight framework for multi-agent workflows by OpenAI. by @openai (28,969 stars)
  • GenAI Agents - Comprehensive tutorials and implementations covering 50+ generative AI agent techniques from basic to advanced. by @NirDiamant (23,988 stars)
  • swarm - Educational framework exploring ergonomic lightweight multi-agent orchestration by OpenAI. by @openai (21,923 stars)
  • camel - Multi-agent framework for finding the scaling law of agents through role-playing communication. by @camel-ai (17,639 stars)
  • agent-framework - Framework for building, orchestrating and deploying AI agents and multi-agent systems. by @microsoft (13,118 stars)
  • PraisonAI - AI employee team platform that automates and solves complex challenges with multi-agent collaboration. by @MervinPraison (8,958 stars)
  • swarms - Enterprise-grade production-ready multi-agent orchestration framework. by @kyegomez (7,086 stars)
  • MindSearch - LLM-based multi-agent framework for web search engines with deep information seeking. by @InternLM (6,917 stars)
  • open-multi-agent - TypeScript multi-agent framework with one function call from goal to result. by @open-multi-agent (6,829 stars)
  • agency-swarm - Reliable multi-agent orchestration framework for building AI agent swarms. by @VRSEN (4,540 stars)
  • Golutra - Multi-agent AI orchestration platform for automation, workflows, and developer tools. by @golutra (3,830 stars)
  • GoClaw - OpenClaw rebuilt in Go with multi-tenant isolation, 5-layer security, and native concurrency for deploying AI agent teams at scale. by @nextlevelbuilder (3,564 stars)
  • BotSharp - AI multi-agent framework built on .NET for enterprise conversational applications. by @SciSharp (3,098 stars)
  • agentUniverse - LLM multi-agent framework for building, customizing and running collaborative agents. by @agentuniverse-ai (2,341 stars)
  • LLMStack - No-code multi-agent framework for building LLM agent workflows and applications. by @trypromptly (2,311 stars)
  • Sage - Multi-agent system framework for complex tasks. by @ZHangZHengEric (1,207 stars)

Tools and frameworks for automatically optimizing agent prompts, instructions, and behavioral patterns.

  • Promptfoo - Open-source LLM evaluation and red-teaming framework. Test prompts, agents, and RAGs with 90+ model providers and 67+ security plugins. by @promptfoo (24,576 stars)
  • TextGrad - Automatic differentiation via text. Backpropagation through LLM-provided textual gradients, published in Nature. by @zou-group (3,706 stars)

Agent Safety and Guardrails

Projects focused on controlling agent actions, enforcing policies, and preventing harmful behavior.

  • NeMo Guardrails - NVIDIA's toolkit for adding programmable guardrails to LLM conversational systems. Policy-based safety controls. by @NVIDIA-NeMo (7,014 stars)
  • AgentDoG - Diagnostic guardrail framework for AI agent safety and security. Detects and intercepts unsafe agent behavior at runtime. by @AI45Lab (685 stars)

Embodied AI

Projects connecting AI agents to physical devices, robotics, and real-world environments.

  • LeRobot - Open-source robotics framework by Hugging Face. Models, datasets, and tools for real-world robotics in PyTorch. by @huggingface (26,920 stars)
  • Open-AutoGLM - An Open Phone Agent Model and Framework. Unlocking the AI Phone for Everyone. by @zai-org (26,087 stars)
  • Nanobrowser - Chrome extension for AI-powered web automation. Run multi-agent workflows using your own AI keys. by @nanobrowser (13,675 stars)
  • XcodeBuildMCP - A MCP server and CLI for agent use when working on iOS and macOS projects. by @getsentry (6,287 stars)
  • Mobile MCP - Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators and Real Devices). by @mobile-next (6,017 stars)
  • agent-device - CLI that lets AI agents drive real iOS and Android devices — taps, text input, screenshots, and app control for mobile automation. by @callstack (4,221 stars)
  • ROS-LLM - Framework for embodied intelligence in ROS. Natural language interactions with LLMs for robot control. by @Auromix (829 stars)
  • RAI - Vendor-agnostic agentic framework for Physical AI and robotics. Connects LLM agents to ROS 2 tools for perception, reasoning, and control. by @RobotecAI (574 stars)

Key Research Papers

Surveys

Self-Evolution and Lifelong Learning

Memory Optimization

Prompt and Behaviour Evolution

Tool and Code Evolution

Reasoning and Planning

Safety, Red-Teaming, and Alignment

Embodied AI and Robotics

Benchmarks and Evaluation

  • SWE-bench (ICLR'24) - Can agents resolve real-world GitHub issues?
  • AgentBench (ICLR'24) - Multi-dimensional evaluation of LLMs as agents.
  • WebArena (ICLR'24) - Realistic web environment for autonomous agents.
  • OSWorld (NeurIPS'24) - Open-ended tasks in real computer environments.
  • GAIA (ICLR'23) - General AI assistant capabilities benchmark.
  • EvoClaw (arXiv'26) - Evaluating agents on continuous software evolution.
  • LoCoMo (arXiv'25) - Long-context memory benchmark for agent memory systems.
  • ClawBench (arXiv'26) - Live-web evaluation with 281 total tasks (V1: 152; V2: 129), isolated execution, and replayable five-layer traces.
  • ATM-Bench (arXiv'26) - First multimodal, multi-source benchmark for personalized referential memory QA over ~4 years of personal records (emails, images, videos).
  • PerspectiveGap (arXiv'26) - The first benchmark for multi-agent orchestration prompt writing, across 110 scenarios and 10 topologies.

Community and Knowledge

  • Awesome-Self-Evolving-Agents - A comprehensive survey of self-evolving AI agents. Covers single-agent optimization, multi-agent optimization, and domain-specific approaches. by @ANative-Lab (2,456 stars)

Footnotes

Maintained by EvoMap. See contributing guidelines for how to submit a project or paper.

Also check out Awesome Agent Swarm for multi-agent orchestration, swarm intelligence, and collaborative agent systems.

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A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai

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