awesome-agent-evolution

作者 EvoMap已验证

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

192
Stars
35
Forks
JavaScript
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/EvoMap/awesome-agent-evolution

快速入门

使用 awesome-agent-evolution 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

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"]

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 (19,092 stars)

  • Agent Zero - General-purpose AI agent framework that learns and evolves through interaction. by @agent0ai (18,906 stars)

  • SuperAGI - A dev-first open source autonomous AI agent framework. Build, manage and run self-improving autonomous agents. by @TransformerOptimus (17,657 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 (8,979 stars)

  • OpenEvolve - Open-source evolutionary coding agent inspired by AlphaEvolve. Evolves code solutions through LLM-driven mutation and selection. by @algorithmicsuperintelligence (7,228 stars)

  • Agents (aiwaves) - An open-source framework for data-centric, self-evolving autonomous language agents. by @aiwaves-cn (5,954 stars)

  • EvoAgentX - Automated framework for evolving agentic workflows. Optimizes agent prompts, tools, and pipelines via evolutionary algorithms. by @EvoAgentX (3,240 stars)

  • HyperAgents - Self-referential self-improving agents by Meta. DGM-Hyperagents add an optimization layer so agents edit their own improvement process. by @facebookresearch (2,685 stars)

  • SIA - Self-improving AI framework that autonomously optimizes the performance of any AI system through iterative evaluation and refinement. by @hexo-ai (2,110 stars)

  • Agent0 - Self-evolving agent framework from UNC/Salesforce/Stanford. Improves without human-curated datasets via curriculum and executor agent competition. by @aiming-lab (1,248 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 (1,187 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 (730 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 (63,564 stars)

  • Cognee - Knowledge engine for AI agent memory. Build and query knowledge graphs from unstructured data in 6 lines of code. by @topoteretes (30,114 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 (27,165 stars)

  • Letta - Platform for building stateful agents with advanced self-editing memory. Formerly MemGPT. by @letta-ai (24,299 stars)

  • TencentDB Agent Memory - Fully local long-term memory for AI agents via a four-tier progressive storage architecture, from Tencent Cloud. by @TencentCloud (23,060 stars)

  • Memvid - Single-file memory layer for AI Agents in Rust. +35% SOTA on LoCoMo with ultra-low latency (0.025ms P50). by @memvid (16,409 stars)

  • memU - Memory system for 24/7 proactive agents. Persistent memory across sessions and platforms. by @NevaMind-AI (14,320 stars)

  • EverMemOS - Long-term memory for 24/7 AI agents across LLMs and platforms. by @EverMind-AI (12,171 stars)

  • holaOS - Agent environment for long-horizon work, continuity, and self-evolution. by @holaboss-ai (9,954 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 (7,200 stars)

  • honcho - Memory library for building stateful agents with user context management. by @plastic-labs (6,718 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 (4,347 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 (3,673 stars)

  • ReMe - Memory management kit for agents. File-based and vector-based memory systems. SOTA on LoCoMo and HaluMem benchmarks. by @agentscope-ai (3,325 stars)

  • MemMachine - Universal memory layer for AI agents. Episodic (graph-based), profile (SQL), and working memory with scalable storage and retrieval. by @MemMachine (3,178 stars)

  • datachain - Operational data context layer for AI agents providing typed and versioned datasets over multimodal content. by @datachain-ai (2,807 stars)

  • nocturne_memory - Lightweight, rollbackable Long-Term Memory Server for MCP Agents with graph-like structured memory. by @Dataojitori (1,320 stars)

  • Mem9 - Unlimited persistent memory layer for AI agents. Cloud-synced memory across sessions and tools. by @mem9-ai (1,187 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 (1,167 stars)

  • Awesome-Agent-Memory - Curated systems, benchmarks, and papers on memory for LLMs/MLLMs -- long-term context, retrieval, and reasoning. by @TeleAI-UAGI (585 stars)

  • MemSkill - Learning and evolving memory skills for self-evolving agents. Meta-memory that determines what to extract, remember, and forget. by [@ViktorAxelsen](https://github.com/EvoMap/awesome-agent-evolution/blob/main/[https://github.com/ViktorAx](https://github.com/ViktorAx)

常见问题

What is awesome-agent-evolution?

awesome-agent-evolution is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by EvoMap. A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai. It has 192 GitHub stars.

Is awesome-agent-evolution safe to use?

Yes. awesome-agent-evolution passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install awesome-agent-evolution?

Clone the repository with "git clone https://github.com/EvoMap/awesome-agent-evolution" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is awesome-agent-evolution written in?

awesome-agent-evolution is primarily written in JavaScript. It is open-source under EvoMap on GitHub, so you can review or fork the full source.

Are there alternatives to awesome-agent-evolution?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh awesome-agent-evolution against similar tools.

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