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KhanhVouch is durable, review-gated decision-memory for Gittensor (Bittensor SN74): a cited knowledge base that records why each scoring rule, allow-list, and emission-split decision was made — and what it superseded.
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Git-native, review-gated knowledge base for LLM agents. MCP server + JSONL tool server + CLI. vouch is a knowledge base for LLM agents with an explicit review gate: agents propose writes; humans approve them with vouch approve. Approved artifacts are plain files on disk — YAML for claims, markdown for pages — so the KB lives in your repo, is reviewed in PRs, diffs cleanly, and can be exported as a portable bundle.
Comment highlights
finally a way to actually track the why behind scoring changes on Bittensor, the citations make it way easier to follow governance decisions without digging through discord threads
Hey Product Hunt 👋
Every persistent-memory tool for AI agents makes the same trade: the agent writes its own history, an LLM compresses it, and whatever it decided gets injected straight back into the next session. Nobody reviews it. If it hallucinated a "fact" on Monday, it's confidently citing itself by Wednesday.
vouch takes the opposite bet: memory should go through review, like code does.
One rule: every write passes a gate. The agent proposes a claim, you approve it, and only then does it become durable. Approved knowledge is plain YAML and markdown inside .vouch/ in your repo — so git is your audit log, PRs are your review UI, and the whole KB diffs cleanly.
What ships today:
🔒 Review gate — agents can't approve their own writes; try it, the server refuses
📎 Citations enforced — a claim without a source is a validation error, not a warning
🪝 Auto-capture — Claude Code hooks harvest each session into one pending summary, mechanically (no LLM), never auto-approved
🧠 Recall — the next session starts from what you approved, not from cold
🔌 MCP + JSONL + CLI — same surface for Claude Code, Cursor, Codex, and humans
📜 Append-only audit log — "which agent claimed what, citing what, when" for free
It's for teams where multiple agents share a repo, where sessions keep re-explaining the same context, or where you'd review an agent's claimed facts the way you review its code. (Gittensor SN74 miners: there's a template that seeds the scoring baseline — vouch init --template gittensor.)
Local-first, plain files, MIT, on PyPI:
`pipx install vouch-kb`
Still alpha and the surface is small on purpose. I'd love to hear where the review gate helps you — and where it gets in your way.
About Vouch on Product Hunt
“ai, agent”
Vouch was submitted on Product Hunt and earned 2 upvotes and 3 comments, placing #160 on the daily leaderboard. Vouch is durable, review-gated decision-memory for Gittensor (Bittensor SN74): a cited knowledge base that records why each scoring rule, allow-list, and emission-split decision was made — and what it superseded.
Vouch was featured in User Experience (366.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 236.5k products, making this a competitive space to launch in.
Who hunted Vouch?
Vouch was hunted by Khanh. 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.
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