agent-evolution

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.

An open-source Digital Worker platform for reliable execution, continuous co-evolution, and building Enterprise AI assets.

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

A research framework for principled agent self-improvement under frozen evaluators and declared mutation boundaries, recording verifiable lineage to make it reproducible and auditable.

Agent Waystation · Agent 驿站 — a stopover for AI agents, builders, tools, and field reports

Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.

Automated harness evolution for AI agents. A Claude Code plugin that iteratively optimizes system prompts, routing, retrieval, and orchestration code using full-trace counterfactual diagnosis. Based on Meta-Harness (Lee et al., 2026).

The Dream Machine — a config-driven engine for nightly, cloud-scheduled, evidence-gated repository evolution. Composes @metaharness/flywheel, darwin, and redblue behind a promotion gate that never merges.

Methodology and deterministic evaluation tools for iterative improvement of skills, repositories and agent workflows, with independent review and regression checks.

LLM Agent Harnesses: A Survey of Human-Machine Interaction, Self-Evolution, and Long-Horizon Autonomy

🌳 Autonomous continuous learning framework for OpenClaw AI agents - Run 59 exploration rounds overnight

数字员工操作系统 — AI agent 像真正员工一样工作。3D 虚拟办公室 + 经验固化为可执行程序（测试门禁晋升 · LLM 审阅迭代 · 相似任务免 LLM）+ 职业发展 + 记忆

Gorz Reborn (گرز نو) — Persian-RTL tactical strategy game where AI agents and humans play the same game: symmetric four-castle river map, self-improving agent trainer with machine-readable rulebook

Central dogma of biology as map for Prompt→Loop→Graph→Evolution trajectory of AI agents. Skill framework, research scaffold, practical patterns.

Liquid Cluster Harness — 子 Agent 从用完即弃到自然生长的集群成员

Governed evolution layer for OpenClaw and Atlas Memory: runtime ingest, audit trails, reviewable proposals, rollback-safe promotion, and restart-safe handoff workflows.

企业 AI 的迷宫经验编译器 —— 把 Agent 的踩坑与人工纠正，编译成可治理、可继承的经验胶囊。

基於 FAEM 方法論的 AI Agent Skills，專注於 Agent 建構、評估與持續演進。(FAEM Skills — Agent Skills based on Felix Agent Evolution Methodology for building, evaluating, and evolving AI Agents.)

A safe, transparent, and human-controlled self-evolution framework for AI agents. Three-zone safety architecture ensures AI learns autonomously while humans stay in control.