AI Agent OpenClaw Skill MIT License Nous Research
Experience-driven continuous evolution for AI agents β turning every interaction into a lasting improvement.
η»ιͺ β ζθ½ β ζΉθΏ β ζ²ζ· β The complete evolution loop for AI agents.
Adapted from Hermes Agent (Nous Research), localized for OpenClaw.
| Mechanism | Description |
|---|---|
| Auto Retrospective | After complex tasks, automatically review and extract reusable patterns |
| Three-Layer Memory | Instant / Working / Experience / Session retrieval β structured knowledge layers |
| Error-Driven Improvement | When corrected, immediately update related knowledge (inspired by KEPA) |
| Skill Audit Cycle | Periodic review of accumulated experience β upgrade to formal Skills |
| Progressive Disclosure | Load only what's needed, when it's needed β save tokens |
Most AI agents repeat the same mistakes. Hermes Learning Loop breaks that cycle:
- Agents learn from corrections β not just from scratch
- Errors become permanent improvements β not forgotten after the session
- Experience compounds β each task makes the next one better
- No bloat β only meaningful knowledge is retained
# Via ClawHub (recommended) clawhub install hermes-learning-loop # Or manually cp -r hermes-learning-loop/ ~/.openclaw/workspace/skills/
Then restart OpenClaw and the skill activates automatically.
- δΈε·ζ β Complex tasks must be reviewed, no skipping
- δΈι ε β Do not pretend to know what you have not learned
- δΈε€η§― β Timely distillation, do not let MEMORY.md bloat
- δΈε€ε² β New knowledge must connect to existing knowledge
- δΈθΏεΊ¦ β Simple operations do not need to be captured
| Skill | Approach |
|---|---|
self-learning |
Config file updates + learning record system |
self-improving-agent-cn |
Error capture + best practice logging |
hermes-learning-loop |
Experience distillation + skill audit + progressive loading |
- Language: Python + Markdown
- Platform: OpenClaw
- Inspiration: Hermes Agent by Nous Research, KEPA error learning
- Author: ζη¬ (Lin Jin) β ε¦ζ₯ε¦ε»ε¦δΉ η€Ύ
- Philosophy: Hermes Agent by Nous Research
- Platform: OpenClaw
MIT License β see LICENSE file.