Awesome Agent Evolution

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

Contents

• Taxonomy
• Agent Evolution and Self-Improvement
• Memory Systems
• Agent-to-Agent Protocols
• Agent Development Platforms
• Agent Coding and Software Engineering
• Multi-Agent Frameworks
• Prompt and Behaviour Optimization
• Agent Safety and Guardrails
• Embodied AI
• Key Research Papers
• Benchmarks and Evaluation
• Community and Knowledge

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"]

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 (19,301 stars)
• Agent Zero - General-purpose AI agent framework that learns and evolves through interaction. by @agent0ai (19,128 stars)
• SuperAGI - A dev-first open source autonomous AI agent framework. Build, manage and run self-improving autonomous agents. by @TransformerOptimus (17,678 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 (9,074 stars)
• OpenEvolve - Open-source evolutionary coding agent inspired by AlphaEvolve. Evolves code solutions through LLM-driven mutation and selection. by @algorithmicsuperintelligence (7,339 stars)
• Agents (aiwaves) - An open-source framework for data-centric, self-evolving autonomous language agents. by @aiwaves-cn (5,960 stars)
• EvoAgentX - Automated framework for evolving agentic workflows. Optimizes agent prompts, tools, and pipelines via evolutionary algorithms. by @ANative-Lab (3,316 stars)
• HyperAgents - Self-referential self-improving agents by Meta. DGM-Hyperagents add an optimization layer so agents edit their own improvement process. by @facebookresearch (2,719 stars)
• SIA - Self-improving AI framework that autonomously optimizes the performance of any AI system through iterative evaluation and refinement. by @hexo-ai (2,146 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 (1,834 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 (1,283 stars)
• Agent0 - Self-evolving agent framework from UNC/Salesforce/Stanford. Improves without human-curated datasets via curriculum and executor agent competition. by @aiming-lab (1,258 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 (904 stars)
• Reef - Continual learning infra for self-improving agents. Serves agent traffic, turns matched feedback into model-weight or harness updates, and publishes accepted updates as versioned artifacts. by @Human-Agent-Society (796 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 (776 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 (422 stars)
• SEAgent - Self-Evolving Computer Use Agent with Autonomous Learning from Experience. by @SunzeY (262 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 (64,952 stars)
• Cognee - Knowledge engine for AI agent memory. Build and query knowledge graphs from unstructured data in 6 lines of code. by @topoteretes (30,605 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 (28,189 stars)
• TencentDB Agent Memory - Fully local long-term memory for AI agents via a four-tier progressive storage architecture, from Tencent Cloud. by @TencentCloud (26,200 stars)
• Letta - Platform for building stateful agents with advanced self-editing memory. Formerly MemGPT. by @letta-ai (24,668 stars)
• Memvid - Single-file memory layer for AI Agents in Rust. +35% SOTA on LoCoMo with ultra-low latency (0.025ms P50). by @memvid (16,528 stars)
• memU - Memory system for 24/7 proactive agents. Persistent memory across sessions and platforms. by @NevaMind-AI (14,395 stars)
• EverMemOS - Long-term memory for 24/7 AI agents across LLMs and platforms. by @EverMind-AI (12,803 stars)
• holaOS - Agent environment for long-horizon work, continuity, and self-evolution. by @holaboss-ai (11,189 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 (7,331 stars)
• honcho - Memory library for building stateful agents with user context management. by @plastic-labs (7,074 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 (4,455 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 (3,687 stars)
• ReMe - Memory management kit for agents. File-based and vector-based memory systems. SOTA on LoCoMo and HaluMem benchmarks. by @agentscope-ai (3,435 stars)
• MemMachine - Universal memory layer for AI agents.