What it is
PlatAtlas is the platform I spend most of my time building. It takes the work that agents and machines do, the kind of work that usually vanishes into a chat log or a robot’s memory, and turns it into a record a third party can actually check.
Each organization gets its own console. The console maps the org’s work as an atlas: the actors, the actions, the traces. Every action is signed, so the record is attributable and tamper-evident, and it is replayable, so verifying what happened never requires taking the operator’s word for it. That last property is the whole point.
How it fits together
PlatAtlas is a platform, not a single app, and it has an open-source edition underneath it:
- The platform is the hosted product: per-org consoles, signed action traces, a fleet view for machines, and cost and capability panels, all running on Cloudflare’s edge (Workers, D1, R2).
- OpenCastor is its open-source robotics edition. That is where the ROBOT.md manifest, the RCAN wire protocol, and the Robot Registry Foundation live, including the first five EU AI Act-aligned compliance endpoints.
So a farm running robots and a team running agents use the same underlying idea: describe the work declaratively, sign what actually happens, and keep a record anyone can replay. Agriculture is the first vertical I have taken end to end; the platform itself is not ag-specific.
Why it matters
Most tools that claim to make AI accountable show you a dashboard. A dashboard tells you what a system says it did. PlatAtlas is built so the record stands on signed facts instead, the kind a regulator, an insurer, or a small offline model beholden to no one could re-check for themselves. It is a prototyping-heavy project, built by pairing with Claude Code, and it is where the accountability ideas I care about stop being an argument and start being infrastructure other people can use.