domains / families / agent-tooling / self-evolution

self-evolution

separate

Production-grade autonomous self-improvement system with research-backed meta-learning, safe self-modification, and continuous optimization. Based on AI safety research (MIRI, DeepMind, OpenAI) and meta-learning principles. Enables endless evolution cycles with safety constraints.

When to use

• autonomous self-improvement
• safe self-modification
• meta-learning integration
• continuous optimization
• evolution cycles
• skill acquisition
• neural architecture search
• reinforcement learning

When not to use

• deleting files
• sending external messages
• making purchases
• modifying user data
• system-level changes

Skill page

Source