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
• 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 (18,578 stars)
• Agent Zero - General-purpose AI agent framework that learns and evolves through interaction. by @agent0ai (18,078 stars)
• SuperAGI - A dev-first open source autonomous AI agent framework. Build, manage and run self-improving autonomous agents. by @TransformerOptimus (17,568 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 (8,668 stars)
• OpenEvolve - Open-source evolutionary coding agent inspired by AlphaEvolve. Evolves code solutions through LLM-driven mutation and selection. by @algorithmicsuperintelligence (6,543 stars)
• Agents (aiwaves) - An open-source framework for data-centric, self-evolving autonomous language agents. by @aiwaves-cn (5,932 stars)
• EvoAgentX - Automated framework for evolving agentic workflows. Optimizes agent prompts, tools, and pipelines via evolutionary algorithms. by @EvoAgentX (3,071 stars)
• HyperAgents - Self-referential self-improving agents by Meta. DGM-Hyperagents add an optimization layer so agents edit their own improvement process. by @facebookresearch (2,576 stars)
• SIA - Self-improving AI framework that autonomously optimizes the performance of any AI system through iterative evaluation and refinement. by @hexo-ai (1,675 stars)
• Agent0 - Self-evolving agent framework from UNC/Salesforce/Stanford. Improves without human-curated datasets via curriculum and executor agent competition. by @aiming-lab (1,218 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 (634 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 (607 stars)
• SEAgent - Self-Evolving Computer Use Agent with Autonomous Learning from Experience. by @SunzeY (251 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 (58,540 stars)
• Letta - Platform for building stateful agents with advanced self-editing memory. Formerly MemGPT. by @letta-ai (23,320 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 (22,780 stars)
• Cognee - Knowledge engine for AI agent memory. Build and query knowledge graphs from unstructured data in 6 lines of code. by @topoteretes (17,824 stars)
• Memvid - Single-file memory layer for AI Agents in Rust. +35% SOTA on LoCoMo with ultra-low latency (0.025ms P50). by @memvid (15,652 stars)
• memU - Memory system for 24/7 proactive agents. Persistent memory across sessions and platforms. by @NevaMind-AI (13,854 stars)
• EverMemOS - Long-term memory for 24/7 AI agents across LLMs and platforms. by @EverMind-AI (7,423 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 (6,686 stars)
• TencentDB Agent Memory - Fully local long-term memory for AI agents via a four-tier progressive storage architecture, from Tencent Cloud. by @TencentCloud (5,640 stars)
• holaOS - Agent environment for long-horizon work, continuity, and self-evolution. by @holaboss-ai (5,507 stars)
• honcho - Memory library for building stateful agents with user context management. by @plastic-labs (5,141 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 (4,154 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 (3,526 stars)
• MemMachine - Universal memory layer for AI agents. Episodic (graph-based), profile (SQL), and working memory with scalable storage and retrieval. by @MemMachine (3,113 stars)
• ReMe - Memory management kit for agents. File-based and vector-based memory systems. SOTA on LoCoMo and HaluMem benchmarks. by @agentscope-ai (3,080 stars)
• datachain - Operational data context layer for AI agents providing typed and versioned datasets over multimodal content. by @datachain-ai (2,782 stars)
• nocturne_memory - Lightweight, rollbackable Long-Term Memory Server for MCP Agents with graph-like structured memory. by @Dataojitori (1,200 stars)
• Mem9 - Unlimited persistent memory layer for AI agents. Cloud-synced memory across sessions and tools. by @mem9-ai (1,136 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 (979 stars)
• MemSkill - Learning and evolving memory skills for self-evolving agents. Meta-memory that determines what to extract, remember, and forget. by @ViktorAxelsen (519 stars)
• Awesome-Agent-Memory - Curated systems, benchmarks, and papers on memory for LLMs/MLLMs -- long-term context, retrieval, and reasoning. by @TeleAI-UAGI