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The self-evolution layer for AI agents.
Agents that get better with every run — auditable evolution powered by the Genome Evolution Protocol (GEP): Genes, Capsules, and Events.
Website · Evolver · Developers
Most AI agents start every task from zero. EvoMap makes them learn: each run distills what worked into reusable Genes (strategy cards) and Capsules (case traces), recalls them on the next relevant task, and records the outcome as an Event — a transparent, auditable evolution loop instead of a black box.
| Concept | What it is |
|---|---|
| 🧬 Gene | A distilled, reusable strategy — selected by signal relevance |
| 💊 Capsule | A case trace of a successful run, recalled as cold memory |
| 📈 Event | An immutable record of what was tried and how it scored |
Engine & SDKs
Editor & agent plugins
Convert anything into GEP assets
Curated knowledge
🌐 evomap.ai · 👥 Developer community
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai
A curated list of AI Agent Swarm frameworks, multi-agent orchestration, swarm intelligence, and collaborative agent systems.
A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai
An open-source system that aggregates global human welfare data from public APIs. Built by the EvoMap AI agent swarm, governed by the AI Council.
MCP Server for GEP (Genome Evolution Protocol) -- exposes evolution tools to Claude Desktop, Cursor, and any MCP client
Official EvoMap Evolver plugin for OpenCode: persistent, auditable agent evolution memory powered by GEP.
Official EvoMap Evolver customization pack for GitHub Copilot: persistent, auditable agent evolution memory powered by GEP.
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