The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
Freeze the model, evolve the harness. Two measured applications: (1) SWE-bench Lite code-repair — 7.7% open-loop -> 58.3% via cheap->frontier tiering (official swebench Docker, verified), ~$0.01-$0.74/instance vs $1-20 for frontier agents; (2) Darwin Shie
MetaHarness — mint a custom AI agent harness from any repo. Browser Studio + npx metaharness CLI. Runs on Claude Code, Codex, pi.dev, Hermes, OpenClaw, RVM.
A meta-harness for designing durable loops that prompt coding agents
Lock-free version-control-for-agents capability for MetaHarness. Wraps agentic-jujutsu (jj/Jujutsu op-log, QuantumDAG agent coordination, ReasoningBank trajectories, ML-DSA signing) as a removable augmentation, and bridges it to agenticow COW memory branc