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foolscap
Delegate to your coding agents, and prove what came back
Tell foolscap what needs doing. GPT-6 Astra plans the work and routes it to Claude Code, Codex or OpenCode running on your machine. Then foolscap reads the test output and the diffs itself, so a result is evidence, not the agent's word for it. Red tests trigger a bounded repair; passing work gets reviewed by a different agent. Local-first, bring your own key, MIT.
I kept running three coding agents at once and losing track of which one
actually did the thing. They all say "done". Reading five terminals to find
out who was lying is slower than doing the work yourself.
So foolscap doesn't ask. You tell it what needs doing, GPT-6 Astra plans it
and hands the work to Claude Code, Codex or OpenCode on your machine — and
then foolscap reads the test output and the diffs itself. Tests red, it
sends a repair with the failure attached. Tests green, a *different* agent
reviews the diff. The card only moves when the evidence says so.
The Astra Challenge is what made the coordinator possible. Async tool
calling means it can dispatch an agent and keep planning instead of
blocking, and mid-run it's reading evidence rather than trusting a summary.
A full run costs about eight cents of Astra; your agents do the rest.
Two honest notes: the Warp and Antigravity launch paths are written from
their docs and I haven't run them against a real install — the README says
so rather than showing a tick. And it's local-first: your session history
never leaves your machine.
Would genuinely like to hear where it breaks. It's MIT, the whole thing
installs with one line, and adding a new agent is a single file.
About foolscap on Product Hunt
“Delegate to your coding agents, and prove what came back”
foolscap was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. Tell foolscap what needs doing. GPT-6 Astra plans the work and routes it to Claude Code, Codex or OpenCode running on your machine. Then foolscap reads the test output and the diffs itself, so a result is evidence, not the agent's word for it. Red tests trigger a bounded repair; passing work gets reviewed by a different agent. Local-first, bring your own key, MIT.
On the analytics side, foolscap competes within Open Source, Developer Tools, Artificial Intelligence, GitHub and OpenAI Day — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how foolscap performed against the three products that launched closest to it on the same day.
Who hunted foolscap?
foolscap was hunted by N DIVIJ. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of foolscap including community comment highlights and product details, visit the product overview.
N DIVIJ