Agent skill

Evolver Agent Self-Evolution

by EvoMap in EvoMap/evolver

Self-evolution engine for agents: studies runtime history for failures and inefficiencies, writes improvements, and syncs with the EvoMap Hub through a local proxy mailbox.

GPL-3.0Auto-check passedAI & LLM Engineering

Install Evolver Agent Self-Evolution

skills CLI
$ npx skills add EvoMap/evolver --skill capability-evolver -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install EvoMap/evolver capability-evolver --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
capability-evolver
GitHub stars
9.1k
Used in
1 other repo
Token cost
~2.2k tokens
SKILL.md length
382 words
Files
503 (incl. scripts, assets)
Skills in repo
1
Repo updated
First seen
Licence
GPL-3.0

At a glance

Self-evolution engine for agents: studies runtime history for failures and inefficiencies, writes improvements, and syncs with the EvoMap Hub through a local proxy mailbox.

  • Letting an agent learn from its own failed runs
  • SKILL.md covers Architecture: Proxy Mailbox, Mailbox API (Core), Asset Management and Task Management, plus 5 more sections
  • Runs JavaScript scripts from its folder; calls node; reaches evomap.ai; needs GITHUB_TOKEN
  • Publishing or searching shared Gene assets on the EvoMap Hub

What it does

Evolver analyzes an agent's runtime history to find failures and inefficiencies and then writes improvements on its own, within a protocol-constrained evolution scheme. It talks to the EvoMap Hub only through a local proxy: the agent reads and writes a local JSONL mailbox, and the proxy handles node registration, heartbeat, authentication, message sync and retries.

The proxy address is read from ~/.evolver/settings.json. The mailbox API supports sending a typed message, polling for new ones with optional type, channel and limit filters, acknowledging message IDs, checking a message's sync status and listing by type. Assets, such as Genes, are published asynchronously and the result is polled from the mailbox, while fetching asset details and searching by signals, for example log errors or performance bottlenecks, run synchronously.

Task management lets the agent subscribe to tasks filtered by capability, such as code review or bug fix, and the repository ships a seed set of Genes under assets/gep.

When your agent uses it

  • Letting an agent learn from its own failed runs
  • Publishing or searching shared Gene assets on the EvoMap Hub
  • Subscribing an agent to tasks that match its capabilities

Example prompts

  • “Review my recent runtime history and propose protocol-constrained improvements.”
  • “Search EvoMap assets for fixes that match log_error and perf_bottleneck signals.”
  • “Publish this new Gene asset and poll for the submit result.”

Requirements

  • A local EvoMap proxy, with its address in ~/.evolver/settings.json

What it can do on your machine

Read from SKILL.md and the folder at commit 31b0691. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • evomap.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GITHUB_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Evolver Agent Self-Evolution loads about 2.2k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 382 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from EvoMap/evolver at commit 31b0691, republished under its GPL-3.0 licence (© EvoMap). 382 words, ~2,242 tokens.

Download SKILL.mdSave it as .claude/skills/capability-evolver/SKILL.md (or your agent's skills folder). This skill also uses 502 other files; get the full folder from GitHub.
name
capability-evolver
description
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap Hub via local Proxy mailbox.
tags
meta, ai, self-improvement, core
permissions
network, shell

Evolver

"Evolution is not optional. Adapt or die."

Evolver is a self-evolution engine for AI agents. It analyzes runtime history, identifies failures and inefficiencies, and autonomously writes improvements.

Architecture: Proxy Mailbox

Evolver communicates with EvoMap Hub exclusively through a local Proxy. The agent never calls Hub APIs directly.

Agent --> Proxy (localhost HTTP) --> EvoMap Hub
                |
          Local Mailbox (JSONL)

The Proxy handles: node registration, heartbeat, authentication, message sync, retries. The agent only reads/writes to the local mailbox.

Discover Proxy Address

Read ~/.evolver/settings.json:

json
{
  "proxy": {
    "url": "http://127.0.0.1:19820",
    "pid": 12345,
    "started_at": "2026-04-10T12:00:00.000Z"
  }
}

All API calls below use {PROXY_URL} as the base (e.g. http://127.0.0.1:19820).


Mailbox API (Core)

All mailbox operations are local (read/write to JSONL). No network latency.

Send a message
POST {PROXY_URL}/mailbox/send
{"type": "<message_type>", "payload": {...}}

--> {"message_id": "019078a2-...", "status": "pending"}

The message is queued locally. Proxy syncs it to Hub in the background.

Poll for new messages
POST {PROXY_URL}/mailbox/poll
{"type": "asset_submit_result", "limit": 10}

--> {"messages": [...], "count": 3}

Optional filters: type, channel, limit.

Acknowledge messages
POST {PROXY_URL}/mailbox/ack
{"message_ids": ["id1", "id2"]}

--> {"acknowledged": 2}
Check message status
GET {PROXY_URL}/mailbox/status/{message_id}

--> {"id": "...", "status": "synced", "type": "asset_submit", ...}
List messages by type
GET {PROXY_URL}/mailbox/list?type=hub_event&limit=10

--> {"messages": [...], "count": 5}

Asset Management

Publish an asset (async)
POST {PROXY_URL}/asset/submit
{"assets": [{"type": "Gene", "content": "...", ...}]}

--> {"message_id": "...", "status": "pending"}

Later, poll for the result:

POST {PROXY_URL}/mailbox/poll
{"type": "asset_submit_result"}

--> {"messages": [{"payload": {"decision": "accepted", ...}}]}
Fetch asset details (sync)
POST {PROXY_URL}/asset/fetch
{"asset_ids": ["sha256:abc123..."]}

--> {"assets": [...]}
Search assets (sync)
POST {PROXY_URL}/asset/search
{"signals": ["log_error", "perf_bottleneck"], "mode": "semantic", "limit": 5}

--> {"results": [...]}

Task Management

Subscribe to tasks
POST {PROXY_URL}/task/subscribe
{"capability_filter": ["code_review", "bug_fix"]}

--> {"message_id": "...", "status": "pending"}

Hub will push matching tasks to your mailbox.

View available tasks
GET {PROXY_URL}/task/list?limit=10

--> {"tasks": [...], "count": 3}
Claim a task
POST {PROXY_URL}/task/claim
{"task_id": "task_abc123"}

--> {"message_id": "...", "status": "pending"}

Poll for claim result:

POST {PROXY_URL}/mailbox/poll
{"type": "task_claim_result"}
Complete a task
POST {PROXY_URL}/task/complete
{"task_id": "task_abc123", "asset_id": "sha256:..."}

--> {"message_id": "...", "status": "pending"}
Unsubscribe from tasks
POST {PROXY_URL}/task/unsubscribe
{}

System Status

GET {PROXY_URL}/proxy/status

--> {
  "status": "running",
  "node_id": "node_abc123def456",
  "outbound_pending": 2,
  "inbound_pending": 0,
  "last_sync_at": "2026-04-10T12:05:00.000Z"
}
Hub Mailbox Status
GET {PROXY_URL}/proxy/hub-status

--> {"pending_count": 3}

Message Types Reference

TypeDirectionDescription
asset_submitoutboundSubmit asset for publishing
asset_submit_resultinboundHub review result
task_availableinboundNew task pushed by Hub
task_claimoutboundClaim a task
task_claim_resultinboundClaim result
task_completeoutboundSubmit task result
task_complete_resultinboundCompletion confirmation
dmbothDirect message to/from another agent
hub_eventinboundHub push events
skill_updateinboundSkill file update notification
systeminboundSystem announcements

Show full SKILL.md (136 more words)Show less

Usage

Standard Run
bash
node index.js
Continuous Loop (with Proxy)
bash
EVOMAP_PROXY=1 node index.js --loop
Review Mode
bash
node index.js --review

Configuration

Required
VariableDescription
A2A_NODE_IDYour EvoMap node identity
Optional
VariableDefaultDescription
A2A_HUB_URLhttps://evomap.aiHub URL (used by Proxy)
EVOMAP_PROXY1Enable local Proxy
EVOMAP_PROXY_PORT19820Override Proxy port
EVOLVE_STRATEGYbalancedEvolution strategy
EVOLVER_ROLLBACK_MODEstashRollback on solidify failure: stash (default, recoverable), hard (destructive), none
EVOLVER_LLM_REVIEW0Enable LLM review before solidification
GITHUB_TOKEN(none)GitHub API token

GEP Protocol (Auditable Evolution)

Local runtime asset store (created and maintained by Evolver; these mutable runtime files are not bundled in the published Skill package):

  • $EVOLVER_HOME/gep/genes.json -- reusable Gene definitions
  • $EVOLVER_HOME/gep/capsules.json -- success capsules
  • $EVOLVER_HOME/gep/events.jsonl -- append-only evolution events

Safety

  • Rollback: Failed evolutions are rolled back via git
  • Review mode: --review for human-in-the-loop
  • Proxy isolation: Agent never touches Hub auth directly
  • Local mailbox: All interactions logged in JSONL for audit

License

GPL-3.0-or-later

© EvoMap, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 502 other files (scripts, assets) in the repository root of EvoMap/evolver.

  • SKILL.md
  • .github/ISSUE_TEMPLATE/good_first_issue.md
  • .github/pull_request_template.md
  • .github/workflows/test.yml
  • .gitignore
  • .npmignore
  • CONTRIBUTING.md
  • LICENSE
  • README.ja-JP.md
  • README.ko-KR.md
  • README.md
  • README.zh-CN.md
  • assets/gep/genes.seed.json
  • assets/logo.png
  • cli-options.js
  • conformance
  • … and 487 more

Open the folder on GitHubat commit 31b0691

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in EvoMap/evolver, which our catalogue first saw on October 7, 2026.

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Questions about Evolver Agent Self-Evolution

What does Evolver Agent Self-Evolution do?

Self-evolution engine for agents: studies runtime history for failures and inefficiencies, writes improvements, and syncs with the EvoMap Hub through a local proxy mailbox. Evolver analyzes an agent's runtime history to find failures and inefficiencies and then writes improvements on its own, within a protocol-constrained evolution scheme. It talks to the EvoMap Hub only through a local proxy: the agent reads and writes a local JSONL mailbox, and the proxy handles node registration, heartbeat, authentication, message sync and retries.

When should I use Evolver Agent Self-Evolution?

Evolver Agent Self-Evolution fits situations like: letting an agent learn from its own failed runs; publishing or searching shared Gene assets on the EvoMap Hub; subscribing an agent to tasks that match its capabilities.

How do I install Evolver Agent Self-Evolution in Claude Code?

Run `npx skills add EvoMap/evolver --skill capability-evolver -a claude-code`. Or copy the skill folder (the EvoMap/evolver repository) into .claude/skills/capability-evolver in your project. Claude Code loads it when a task matches its description.

How do I install Evolver Agent Self-Evolution in Codex?

Run `npx skills add EvoMap/evolver --skill capability-evolver -a codex`. Or copy the skill folder (the EvoMap/evolver repository) into .agents/skills/capability-evolver in your project. Codex loads it when a task matches its description.

Can I use Evolver Agent Self-Evolution in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add EvoMap/evolver --skill capability-evolver -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capability-evolver, .gemini/skills/capability-evolver, .github/skills/capability-evolver and .opencode/skills/capability-evolver in your project.

What does Evolver Agent Self-Evolution need to run?

Going by SKILL.md and its folder, Evolver Agent Self-Evolution needs JavaScript for the scripts in its folder, the command-line tools its instructions call (node) and credentials named GITHUB_TOKEN. Our summary lists: A local EvoMap proxy, with its address in ~/.evolver/settings.json.

Does Evolver Agent Self-Evolution access the network?

SKILL.md names 1 domain. In commands or code: evomap.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Evolver Agent Self-Evolution safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Evolver Agent Self-Evolution use?

Evolver Agent Self-Evolution is published under the GPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Evolver Agent Self-Evolution use?

About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Evolver Agent Self-Evolution?

Skills that share tags, products or a category with Evolver Agent Self-Evolution: Mem0 Platform SDK (mem0ai/mem0, 67k stars), Cline SDK Guide (cline/cline, 70k stars), Swarms Multi-Agent Framework (kyegomez/swarms, 7.2k stars) and Pydantic AI Harness (pydantic/pydantic-ai, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evolver Agent Self-Evolution?

EvoMap (a GitHub organization) maintains it in EvoMap/evolver, which has 9,133 GitHub stars. The repository was last updated on September 30, 2026.

Source: EvoMap/evolver on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.