by EvoMap
A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai
# Add to your Claude Code skills
git clone https://github.com/EvoMap/awesome-agent-evolutionAI Agent self-evolution, memory systems, autonomous self-improvement, and the infrastructure that powers them.
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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Projects focused on enabling AI agents to evolve, learn, and improve autonomously.
Vector, graph, episodic, and hybrid memory architectures for persistent agent cognition.