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

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

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

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).

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

Feishu-specific wrapper for capability-evolver with rich card reporting and dashboard visualization

Autonomous agent-to-agent marketplace with live Karpathy loop self-improvement. Agents discover, hire, benchmark, and evolve programmatically. MPP/x402/MCP. No humans in the loop.

An open framework for building self-improving AI agent teams. Includes a meta-agent architecture with independent auditing, git-backed evolution, and structured feedback loops. Ships with a complete marketing team, a reusable team-builder skill, and a portable prompt that works with any LLM.

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.

Agent evolution lab: evolve autonomous-agent skills, tools, prompts, datasets, and evaluation loops from real usage evidence

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.

Agent personality evolution framework (MIT) — generic, sanitized skill for OpenClaw

MOLT (蜕界) — Reflexive Co-evolution Engine for Multi-Agent Systems. Observe structural friction, attribute root causes, evolve through evidence. Native OpenClaw product.

Research platform for AI agent integrity under adversarial pressure: append-only hash-chained belief store with content-addressed artifacts and replay / regression / falsification / invariants gates.

Rollback-first reliability layer for AI agents: trace failures, apply guarded changes, and rollback on regression.

🧬 Agent 自我进化系统 - 基于数据驱动的 AI Agent 能力提升平台 | ✨ 任务监控/技能评估/智能调度/自动进化 | 📊 95%+ 测试覆盖，<20ms 延迟

Audit AI coding agents and project configurations for security flaws using static analysis, custom rules, and LLM-assisted verification.

Standardize AI agent behavior across IDEs and CLI tools using a single configuration file to reduce token usage and build persistent skill libraries.