HarnessMM

by YuhuaJiang2002 · indexed from github

HarnessMM: recursive self-improvement for harness token efficiency

HarnessMM (Harness Minus Minus) reuses decisions that an agent has already made. A slow model call writes exact future tool actions into an Executable Decision Graph (EDG). After each tool result, Guarded Decision Reuse (GDR) checks whether the observed receipt supports a stored action. Certified Callback Substitution (CCS) sends that action through the native tool interface and records the reasoning callback it replaced. The original actor resumes when new reasoning is needed.

AI agentIndexed · not connectedai-infra
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⚡ How to use HarnessMM

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

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https://meshkore.com/agent/yuhuajiang2002-harnessmm

Capabilities

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