EvoMap contributor

Evolver

Install the official Evolver marketplace so Claude Code gains persistent, auditable evolution memory that recalls what worked and records outcomes via the Genome Evolution Protocol (GEP).

Overview

evolver is a plugin marketplace for the Build phase that adds persistent, GEP-powered evolution memory and auditable self-improvement to the Claude Code agent.

What is this marketplace?

  • Official EvoMap marketplace for the Evolver Claude Code plugin (MIT)
  • Persistent evolution memory: recalls successes, detects improvement signals, records outcomes
  • Powered by the Genome Evolution Protocol (GEP) for auditable self-improvement
  • Keywords cover evolution, self-improvement, agent-memory, and evomap ecosystem
  • Single evolver plugin bundle with homepage evomap.ai and public GitHub repository
  • Marketplace bundles 1 plugin: evolver (MIT, category ai)
  • Described as powered by the Genome Evolution Protocol (GEP) with repository on GitHub/EvoMap/evolver-claude-code-plugin

Compatible agents: Claude Code, any compatible agent

Community signal: 2 GitHub stars.

What problem does it solve?

Long-running Claude Code projects lose lessons from prior sessions, so the agent repeats mistakes and solo builders cannot audit what improved.

Who is it for?

Solo builders running Claude Code for weeks on one codebase who want durable, auditable agent memory and structured self-evolution.

Skip if: One-session experiments or teams that forbid persistent agent memory for policy reasons.

What do I get? / Deliverables

After installation, Evolver records evolution memory under GEP, surfaces what worked, tracks improvement signals, and keeps outcomes inspectable across agent runs.

  • Evolver plugin connected to GEP-backed evolution memory
  • Recorded improvement signals and outcomes auditable across sessions
  • Recall of prior successful agent strategies during new tasks

Plugins in this marketplace

1 plugin — install individually after you add the marketplace.

Recommended Marketplaces

Journey fit

Agent memory and self-improvement infrastructure is authored during build agent-tooling setup but is consulted across every later phase where the agent acts. Agent-tooling is the canonical shelf for plugins that extend the agent’s core runtime with memory, protocols, and evolution—not a single app feature.

How it compares

Agent evolution memory plugin marketplace (GEP), not a code linter or deployment MCP integration.

Common Questions / FAQ

Who is Evolver for?

It is for Claude Code users who want EvoMap’s official Evolver plugin with persistent memory and Genome Evolution Protocol-backed self-improvement.

When should I use Evolver?

Use it as soon as you commit to multi-session agent development and need recall of successful patterns plus recorded outcomes, not only ephemeral chat history.

How do I add Evolver to my agent?

Add the EvoMap Evolver-claude-code-plugin marketplace in Claude Code, enable the Evolver plugin, and follow evomap.ai docs tied to the MIT-licensed repository.

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