Rinkata

Rinkata is a hub where teams and AI agents share one source of truth: goals, specs, decisions, and completion evidence. Knowledge uploaded to the hub — Figma exports, product briefs, architecture notes — becomes searchable memory that agents retrieve before inventing context. Capture an idea in the notebook drawer, promote it to a Goal with acceptance criteria, and agents claim it with the covering Knowledge attached. When judgment is required, Needs Attention surfaces the Decision and a human Accepts or Rejects. Finished work produces structured proof — test reports, screenshots, pull requests — and writes itself back into Knowledge so docs stay current. Handoffs keep the next agent on the same outcome with evidence attached. The CLI and agent integrations work with Claude, Codex, ChatGPT, Cursor, Grok, and Gemini over MCP. It is not a code writer, it is the alignment layer that keeps intent connected from idea to deploy. The Rinkata team used Rinkata to build Rinkata: 2,000+ tickets, 400+ specs, and 200+ decisions so far. Free for one person. Built by Bryan Schwab and the Quirence team.