self-improvement 5

Evolve skills, agents, prompts, code and plugins from inside DeepSeek Harness, with AgentDescent.

Standalone DeepSeek Harness plugin: continual harness self-evolution. The agent persists and refines reusable prompt notes, memories, skill contracts, and subagent specs through small evidence-backed edits, with automatic refinement gates, rollback, and p

Self-evolving plugin for DeepSeek Harness: observes agent behavior, proposes improvements to its own skills/policies via LLM, validates them in a sandboxed trial agent, and applies versioned mutations with rollback.

DeepSeek Harness (dsh) plugin: a shell around the dsh-continual-harness self-refinement engine — mounts the engine itself and owns /refine (status / entry browsing / refinement history / one-click rollback / scoped triggers) plus a settings panel; engine

Experience Learning: learn conditional methods from outcome evidence, with optional export as skills.