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capabilityevolver1037

A self-evolution engine for AI agents

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Source Code

๐Ÿงฌ Capability Evolver

"I don't just run code. I write it."

The Capability Evolver is a meta-skill that allows OpenClaw agents to inspect their own runtime history, identify failures or inefficiencies, and autonomously write new code or update their own memory to improve performance.

Now featuring Ascension Protocol (v2.0): A structured knowledge accumulation system.

โœจ Features

  • ๐Ÿ” Auto-Log Analysis: Automatically scans memory and history files for errors and patterns.
  • ๐Ÿ› ๏ธ Self-Repair: Detects crashes and suggests patches.
  • ๐Ÿ’Ž Knowledge Crystallization: Extracts lessons into memory/KNOWLEDGE_BASE/LESSONS_LEARNED.md.
  • ๐Ÿฅš Skill Incubation: Can spontaneously generate new skills in skills/.
  • ๐Ÿ• Mad Dog Mode: Continuous self-healing loop (--loop).

๐Ÿ“ฆ Usage

Manual Trigger

node skills/capability-evolver/index.js

๐Ÿ• Mad Dog Mode (Continuous)

Runs the evolver in an infinite loop (Agent-Driven).

node skills/capability-evolver/index.js --loop

Stop with kill -9 <pid>.

๐Ÿง  Internal Logic (Ascension Protocol)

  1. Introspect: Scan recent logs for errors or user corrections.
  2. Evolve:
    • Fix: Repair broken code.
    • Crystallize: Write new rules to KNOWLEDGE_BASE.
    • Promote: Update core docs (AGENTS.md) if critical.
  3. Persist: Commit to Git and safe-publish if needed.

๐Ÿ›ก๏ธ Safety & Risk Protocol (MANDATORY)

Risk Assessment & Mitigation

Risk Level Mitigation Strategy
Infinite Recursion High Strict Single Process: evolve.js MUST NOT spawn child evolution processes. The loop is handled safely in index.js.
Runaway Process High Kill Switch: Use kill -9 <pid> to terminate the Mad Dog loop if it becomes unresponsive.
Hallucinated Fixes Medium Human Review (Optional): "Fixing non-broken code" is a risk. Mitigation: Periodic human audit of changes.
File Corruption High Git Sync: Always keep workspace_daily_sync (or git-sync) active to backup the workspace before/after evolution.

๐Ÿ“œ License

MIT