The Next Frontier for Large‑Scale LLM Agents: 17 Must‑Read Papers on Self‑Evolving Harnesses

This article surveys 17 recent core papers that explore how the system‑level harness surrounding large‑model agents can be automatically generated, evolved, and audited, covering topics such as system boundaries, failure‑driven improvement, memory and skill optimization, source‑level rewriting, scaling laws, aging, and safety.

Agent MemoryHarness EngineeringLLM Agents

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The Next Frontier for Large‑Scale LLM Agents: 17 Must‑Read Papers on Self‑Evolving Harnesses

Geek Labs

Apr 24, 2026 · Artificial Intelligence

Automatically Evolve Claude Code Skills: Open‑Source System That Strengthens AI Tools Over Time

The darwin-skill project introduces a ratchet‑based optimization loop that scores each Skill on eight dimensions, generates improvement proposals, commits changes, re‑scores, and only retains upgrades, with human confirmation between phases, enabling scalable maintenance of dozens of AI agent Skills.

AI agentsClaude CodeDarwin-skill

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Automatically Evolve Claude Code Skills: Open‑Source System That Strengthens AI Tools Over Time