SE-Agent is a self-evolution framework for LLM Code agents. It enables trajectory-level evolution to exchange information across reasoning paths via Revision, Recombination, and Refinement, expanding the search space and escaping local optima. On SWE-bench Verified, it achieves SOTA performance
Hermes Agent 深度研究：从机制本质到代码实现，从 OpenClaw 渊源到 EvoMap 争议
Let Skills Evolve Collectively with Agentic Evolver
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
Agent Skills as a Memory Layer
Self-evolving code & knowledge graph memory engine (SAGE + CodeGraph) — Kuzu + tree-sitter, multi-hop queries across code, specs & decisions. Pluggable adapters, MIT.
Git for AI Agent Knowledge. A persistent, versioned memory layer for AI systems. Hybrid GraphRAG retrieval. Runs entirely offline.
A curated list of papers, benchmarks, attacks, defenses, and security analyses for self-evolving AI agents.
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
CodeWiki is a knowledge platform that analyzes repositories into AST graphs, builds GraphRAG indexes, and generates source-grounded developer wikis with FastAPI, React, and LiteLLM.
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