CommitmentClient0:14:32
“We need this live before Ramadan.”
pending your confirmConfirm
Knowcap · MCP server for Claude, Codex & Gemini
Your company’s deepest knowledge is its commitments and the risks against them. Knowcap makes sure they’re kept.
Your client was promised delivery by June. Your team lead promised the demo would work. Those promises live in conversations, and they die there. Knowcap captures every commitment spoken aloud, flags every risk against it, and lets your AI agents act on it — after a named human confirms it.
Doctrine
Most AI agents act on what the AI thinks is true. Knowcap agents act only on what a human said is true.
Built by an Odoo partnerMCP-nativeFull audit trail on every action
Captures Meet · recordings · voice notes · documents · URLs · Telegram
Inbox — Weekly sync · Atlas-ERP
RiskKnowcap0:14:33
Conflicts with the supplier lead time confirmed last week.
pendingReview
VerifiedYou0:14:35
✓Verified · agent drafts the change-order email
draft_email(change_order) — running with receipts
The deadline slipped because the promise never lived anywhere.
A company makes hundreds of promises a week. To clients. To employees. To suppliers. None of them live in your project tool. They live in calls, voice notes, and chat threads. When one breaks, you find out last.
№ 1 — The client promise
“We’ll deliver by June.”
Said on a Zoom call. Never made it into the SOW. The scope grew, the date didn’t move, and the margin paid for it.
№ 2 — The internal promise
“It’ll be ready for the demo.”
Said in standup. Slipped out of standup three weeks ago. The demo found out for you.
№ 3 — The supplier promise
“Lead time is four weeks.”
Said on a phone call. Shipped in six. Your customer churned and your team never saw it coming.
That is not a project-management problem. It is an open loop. Knowcap closes it.
Listen. Extract. Confirm. Act.
Listen
Knowcap captures the conversations your team is already having: meetings, recordings, voice notes, documents, Telegram. WhatsApp, email, and Slack are next.
Extract
AI pulls out every commitment, decision, task, and risk. Each one carries its speaker and a timestamp back to the exact second it was said.
Confirm
A named human reviews each claim and promotes it to evidence with one tap. No bulk approve. No silent ingestion. The graph holds what your team confirmed, nothing else.
Act
Agents work from confirmed facts: draft the change-order email, create the Odoo task, brief the next meeting. Every action carries its receipts.
Confirmation takes about two minutes per meeting. The agent actions it unlocks run before the meeting ends.
80 seconds
Meeting → confirmed scope change → Odoo task.
Your client says “add the warehouse module to phase two.” Knowcap captures it, timestamps it, classifies it as a scope decision, and puts it in your inbox. You confirm with one tap. Before the meeting ends, the task is in your Odoo project with the client’s exact words attached — and the change-order conversation is already drafted.
Scope creep is a request with no commitment backing it. Knowcap flags the gap while the client is still on the call.
VERIFIEDRAID logs, action trackers, contract tools. They all died the same way.
They captured the right things: commitments, risks, decisions, tasks. They all collapsed at the same point: a human had to maintain them by hand. The discipline lasted two sprints and then real work won.
You can’t add discipline on top of existing work. You have to remove the friction until the discipline becomes automatic.
Knowcap inverts the old model. The capture is automatic. The judgment stays human: one tap that turns an AI extraction into a fact your agents can rely on. That confirm-then-act loop is not a UX detail. It is the product.
52%
of agency projects hit scope creep
70%
of meeting decisions are forgotten within 24 hours
15 → 0
competitor products examined. Zero verify facts with a named human.
Your agents, your tools, your verified facts.
Knowcap ships as an MCP server. Connect it to Claude, Codex, or Gemini and your agents query your organization’s confirmed knowledge instead of guessing from transcripts. Ask what was promised to a client, what risks are open against the launch, what changed since last week. The answers come with receipts: who said it, when, and who confirmed it.
Works inside the AI tools you already useAgents read confirmed facts only — strictness is enforced server-side, per agentEvery fact links back to the second it was said
// your agent, any MCP runtime search_memories({ query: "what did we promise Ariika for phase 2?", verification_strictness: "human_only" }) // → 3 commitments · each confirmed by a named human // → source: client call 2026-06-02 · 0:14:32
Fair questions.
Q.Isn’t this another meeting notetaker?
Notetakers hand you a summary and stop. Knowcap is the layer after the summary: every extracted claim is confirmed by a named human, becomes part of your organization’s verified memory, and is served to your AI agents with an audit trail. Summaries are the input. Kept commitments are the output.
Q.Confirming every claim sounds like work.
It is about two minutes per meeting, one tap per claim. That is the entire human cost of agents that act on truth instead of guesses. And there is no “confirm all” button — by design. One bulk approve would poison the whole graph.
Q.What about our data?
Your graph is scoped to your organization. Agents see only what their API key allows, at the strictness tier you set. Every confirmation is logged: who, what, when, against which source. Built for Saudi PDPL and GDPR Article 22 from day one.
Q.Which tools does it work with?
Claude, Codex, and Gemini today via MCP. Capture from Google Meet, uploaded recordings, voice notes, documents, URLs, and Telegram. Odoo task creation for implementation teams.
Knowcap · The thesisOrganizations aren’t hierarchies.
Organizations aren’t hierarchies.
They’re webs of commitments.
AI is finally able to make sure they’re kept.