Let Skills Evolve Collectively with Agentic Evolver
Evidence-driven skill evolution for Hermes Agent — reports, dry-run proposals, candidate search, and guarded apply
A curated collection of papers & repos on Auto-Skill (self-evolving agents) and Auto-Rubric (rubric learning from preferences) for LLM alignment & customization.
Flow-driven recursive skill evolution for agentic LLM orchestration.
Multi-agent framework for Claude Code: tier-aware acceptance (S/M/L), acceptor/optimizer split, filesystem-isolated adversary review, cross-family second-opinion via Codex MCP, SkillOpt-style skill evolution, event ledger observability, human as supreme judge
Pulse — Hermes-style self-improving AI agent. Reliability-first rebuild with evaluated skill self-evolution, multi-agent team orchestration, dialectic user modeling, and fully self-hosted default stack (Ollama + SQLite FTS5). Apache 2.0 license.
A control-theoretic learning plane for Hermes-style AI agents
技能自进化系统 v2.0.0 — 8阶段Loop + 跨模型双裁判 + 30题测试集
Bionic memory for AI agents: GraphRAG, predictive memory, dream consolidation, governed skill evolution, MCP, REST API, and dashboard.
Zero-dependency AI agent orchestration engine. Parallel DAG execution, skill genetics, ontology routing, human approval gates. 8.7K LOC, <1MB. The embeddable agent engine that learns.
MetaClaw fork: self-hosted GPU training (GRPO + LoRA + vLLM), per-agent skill isolation, multi-agent mode routing, training engine bug fixes. Train your AI agent on your own A100s. No cloud dependency.
Evolve AI agent skills through chat interactions that persist across devices and users with a collective learning framework.
SoulSkill packages native AISP skill packages as a local skill library plus Codex and Claude Code plugin adapters. It gives agents and developers a self-contained way to discover, inspect, validate, hash, and distribute AISP skills.
Autonomous skill evolution engine for Claude Code — an evolutionary loop that discovers, evaluates, and refines domain-specific skills with no ground-truth benchmark.
opencode plugin — Hermes-style self-improvement loop (port of UniM0cha/claude-self-improving-skills + okdk7788/skill-evolution). Distills learned skills after complex work + GEPA-style measured evolution.
A privacy-clean framework for evolving, routing, validating, and sharing Codex skills.
Add a description, image, and links to the skill-evolution topic page so that developers can more easily learn about it.
To associate your repository with the skill-evolution topic, visit your repo's landing page and select "manage topics."