A sophisticated self-growth system for AI agents that implements the Sense-Evaluate-Evolve-Validate-Collaborate architecture.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-evolution-engine-v2
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-evolution-engine-v2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Evolution Engine?
The AI Evolution Engine is a comprehensive framework designed to enable AI agents to grow and adapt autonomously. Built on the 2026 SEA (Sense-Evolve-Act) cycle research, this skill allows agents to move beyond static programming by implementing a continuous feedback loop. By integrating this into your Openclaw Skills setup, agents can perform self-audits, identify knowledge gaps, and update their own internal logic and strategy files without human oversight.
This engine provides the infrastructure for an agent to manage its own lifecycle, from initial onboarding to advanced multi-agent collaboration. It ensures that every evolution is safe, transparent, and logged, allowing for a robust development environment where agents become more efficient and capable over time through error pattern recognition and best-practice acquisition.
AI Evolution Engine Use Cases
- Rapidly onboarding new AI agents by identifying necessary tools and skills through automated assessment.
- Maintaining long-term agent efficiency by identifying and filling knowledge gaps or outdated skills.
- Enabling multi-agent environments where different agents share experiences and inherited knowledge.
- Automating the optimization of agent personality and strategy files like SOUL.md and AGENTS.md.
How AI Evolution Engine Works
- The Sense layer performs a comprehensive inventory of the agent's current tools, skills, and performance metrics.
- The Evaluation layer identifies knowledge gaps and error patterns that need correction.
- The Evolution layer triggers the learning engine to discover and install new Openclaw Skills or update internal memory.
- The Validation layer audits changes and high-risk variations to ensure system stability.
- The Collaboration layer shares the successful evolution data across the agent team for collective intelligence.
AI Evolution Engine Setup
To begin using the AI Evolution Engine, ensure you have Node.js installed and execute the following commands within your agent directory:
# Step 1: Run a self-assessment to identify gaps
node scripts/assess.mjs
# Step 2: Learn a specific topic or onboarding flow
node scripts/learn.mjs onboarding
# Step 3: Execute the evolution mechanism
node scripts/evolve.mjs
AI Evolution Engine Data Schema & Taxonomy
The AI Evolution Engine organizes its growth data using a structured taxonomy to ensure traceability:
| Component | Data Storage | Purpose |
|---|---|---|
| Memory | MEMORY.md / knowledge/ | Stores persistent facts and acquired skills. |
| Strategy | AGENTS.md / SOUL.md | Defines behavioral logic and optimization strategies. |
| Logs | .learnings/EVOLUTION_LOG.md | Provides a transparent audit trail of all evolution steps. |
| Metrics | Internal JSON Schema | Tracks success rates, response times, and resource costs. |
AI Evolution Engine Advanced Features
- Collaborative learning scripts for multi-agent knowledge sharing and experience transfer.
- Automated skill discovery via ClawHub scanning to expand capabilities with other Openclaw Skills.
- Safety-first rollback mechanisms that preserve old versions of agent logic in case of evolution failure.
- Financial synergy loops that allow agents to reinvest gains from productivity into further learning cycles.
SKILL.md
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