Infrastructure for continually self‑improving agents
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
Self-improvement skill for OpenClaw. It captures learnings, errors, and feature requests to support continuous improvement across sessions. It is a agent knowledge skill made for the skill marketplace
A curated list for Self-Improvement in Foundation Model Based Agentic Systems.
WikiSkill (arXiv:2608.27454) for Hermes Agent — self-evolving agent skills via a persistent knowledge wiki. Faithful Algorithm 1 implementation with real agent runs, isolated skill gating, and a documented live run log.
Reference architecture, contracts, skills, and fixtures for safe evaluator-driven self-improving ecosystems.
Survey: The Path to Recursive Self-Improving Agents: Foundation, Framework, and Future Directions
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
A curated, evidence-aware collection of recursive self-improvement research, agents, harnesses, benchmarks, and safety work.
Self-improvement loop for Hermes Agent: reads its own trajectory, proposes and applies the smallest skill/memory edit (create/patch), journaled with rollback. /refine command, refine_run tool, on_session_end hook.
The Dream Machine — a config-driven engine for nightly, cloud-scheduled, evidence-gated repository evolution. Composes @metaharness/flywheel, darwin, and redblue behind a promotion gate that never merges.
Self-improving agents, governed. Areev is the substrate for adaptive agents — agents that get better from their own history, under human authority, in steps you can inspect, undo, and re-measure.