𝗦𝗲𝗹𝗳-𝗘𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗦𝘁𝗮𝗯𝗹𝗲 𝗖𝗼𝗱𝗲
Static structures fail. You need systems with plasticity.
RMSP changes how an agent thinks.
- It uses reward signals to rewrite its internal map.
- This happens in seconds.
- It adapts one agent to one task.
AGE changes how your project lives.
- It uses owner-docs to create stable attractors.
- This happens over days.
- It keeps your repository consistent for everyone.
nop-chaos-flux puts AGE into practice. It evolves documents through specific actions:
- Split roles into smaller docs.
- Lift concrete details into abstractions.
- Prune old structures.
- Connect related ideas.
These steps mirror RMSP rules. Both systems solve different problems at different speeds.
Both systems follow one rule. Separate the proposer from the verifier.
- The LLM suggests a change.
- A reward or an audit approves it.
- This stops the AI from lying to itself.
Use RMSP for fast agent adaptation. Use AGE for long-term project stability. Together they create a self-evolving loop.
Optional learning community: https://t.me/GyaanSetuAi