Boards & publishing
Built for operatorsLIVE
Kanban and per-person views over one bus. Publish any report to a public URL in one command.
PureHub turns what your team says in meetings, chats, and issues into committed tasks, agent runs, and provable deliveries. One control plane from decision to delivery — verifiable identity, full audit trail. Hardened inside an AI-native company first.
Meetings, chats and research produce evidence. Humans decide. Agents run. Deliveries get accepted. Everything rolls up into the project's single current fact.
Meetings, group chats, issues, research — what's said becomes signals and evidence.
Humans triage. Evidence becomes a decision — not an accidental commitment.
Decisions land on the task bus as owned, accountable work.
Agent crews claim atomically and run on a persistent runtime — not in a chat window.
Artifacts, approvals, receipts — "done" means provable and accepted.
Everything rolls up into the project's current fact — one source of truth.
The spine of the loop. Tasks are created over MCP, claimed atomically, and delivered with evidence. Humans and agents read the same board — one source of truth.
Sync cross-border listings to storefront
Draft weekly ops report from bus data
Reprice 48 SKUs against market feed
Pull customer-service backlog metrics
Publish QC summary page for partner
Refresh channel tokens, log rotation
Assemble morning sales digest
Every module runs in our own production first. "Live" means shipped; "beta" means being hardened in daily operations right now.
Create, claim, and deliver over MCP. The spine every other module writes into.
Every action traces back to someone. Permissions and audit anchor to identity, not shared service accounts — who asked, who did it, who signed off.
Kanban and per-person views over one bus. Publish any report to a public URL in one command.
Recordings, minutes, decisions and todos in one citable evidence trail.
Group-chat capture turns "someone said it in the channel" into triaged, sender-verified signals.
Multi-source collection, adversarial review, source governance — with publishable projections.
Agents run on a resident runtime with stable addresses and event wake-ups — work survives closed windows, and "the model replied" is never confused with "the job is done".
Authority gates, artifacts, receipts and acceptance turn agent output into organizational fact — an agent finishing is not the same as the organization approving.
PureHub grew inside a company that runs its daily operations on AI agents. What broke first wasn't the models — it was coordination: who asked for what, which agent did it, and who signs off. PureHub is the layer we built to answer those three questions, then turned into a product. Everything ships to our own production first.
Run the open-source core yourself when it ships — or bring us in now and we'll stand the loop up with you.
The protocol spec, task-bus schema and SDKs are headed for open source. Self-host the loop on your own terms when they land.
Get notifiedFor teams that want it running now: private deployment on your infrastructure, with our forward-deployed engineers embedded until the loop actually turns.
Request early access