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.
Core: the Genome Evolution Protocol (GEP)
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
Projects
Engine & SDKs
evolver — the GEP-powered self-evolving engine ⭐ 8.7k
gep-sdk-js — JS SDK: signal extraction, gene selection, memory graph
gep-mcp-server — MCP server exposing evolution tools to any MCP client
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