Marginal
Governance that AI coding agents have to earn
What it does
Marginal is an open-source governance layer for AI coding agents. It starts in Shadow Mode, collects verifiable runtime evidence, and only earns limited enforcement authority when the evidence supports it.
Open-source no-progress governor for AI coding agents. Detect repeated work that changes nothing. Shadow first, enforcement only after evidence. - SignalLayerLabs/Marginal
Does the same job
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- GFGit for AI AgentsMay 2026 · github.com · ▲129
hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
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