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Record · metaharnessFrameworkMIT source; selected models, services and execution infrastructure cost separately.Record checked Nov 3, 2026

MetaHarness

Generate a branded agent harness with tools, scoped memory and release policy.

Documentation reviewed

Can I use this for my work?

Checked · Recheck due

MetaHarness is an MIT-licensed harness generator from ruvnet. It scaffolds a team-owned CLI, MCP tools, memory scope and governance configuration from a repository or template. Experimental development loops compare harness variants. Generated policies and signed provenance do not prove safe execution or better model performance; model and infrastructure costs remain separate.

Availability
Available. Available source and a browser Studio. The October 28 press release is not evidence of its first-ever availability.
How to use it
Web app; Library / CLI. Inspect source and generated configuration before installing or executing anything.
Processing and data
Local and cloud options. The Studio and generated runtime have different data paths; inspect generated connectors and provider configuration.
Costs and limits
MIT source; selected models, services and execution infrastructure cost separately.
Outputs
Editable harness source, CLI and policy/provenance artifacts; inspect outputs before execution or publication.

No generated harness, security control or evolution experiment was executed by ASE. Leaderboard and combined ecosystem adoption figures are omitted.

Compare these facts with another tool →

Publisher documentation was reviewed. ASE has not independently tested this workflow, its outputs, billing, privacy controls or accessibility.

Best for

Developers comparing reusable scaffolding for project-specific agent harnesses.

Avoid if

You need an audited execution boundary or independently reproduced benchmark gains.

About MetaHarness

MetaHarness is an MIT-licensed harness generator from ruvnet. It scaffolds a team-owned CLI, MCP tools, memory scope and governance configuration from a repository or template. Experimental development loops compare harness variants. Generated policies and signed provenance do not prove safe execution or better model performance; model and infrastructure costs remain separate.

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