AI agents & autonomy
Agents now act and spend on our behalf, faster than governance. We need hard, shared rules for “what is true” and “what is allowed” that don’t depend on any single vendor.
Manifesto · Mission & Philosophy
Make reality verifiable to machines and machine actions accountable to humans — so AI agents, autonomous finance, and robotics can operate safely across Earth and beyond.
Why now
Systems are deciding and acting faster than any single vendor or platform can be trusted to govern. The fix is not another platform — it is a shared, neutral protocol for what is true and what is allowed.
Agents now act and spend on our behalf, faster than governance. We need hard, shared rules for “what is true” and “what is allowed” that don’t depend on any single vendor.
Fragmented and siloed. We need a neutral action layer that uses all of them without being captured by any of them.
Trust under latency and loss of connectivity: prove what happened and settle what must happen later, deterministically.
The loop
Five components, one chain — each small, signed, and testable.
Measure, notarize, decide, settle, audit. Separation of concerns is the whole point: measuring is not deciding, and deciding is not settling. Every effect links back to cited, signed facts.
Design principles
These hold across every spec, every registry, every implementation. Where they conflict with growth, growth loses — bloat kills interop.
What we will and won’t do
The Foundation stewards the specs, registries, and vectors; publishes policy frameworks so autonomy stays lawful and humane; and operates transparent governance. Neutrality is not a feature — it is the product.
We refuse to run a proprietary network, issue a currency, or pick winners · embed surveillance or PII in public artifacts · ship complexity for growth.
Success looks like
Multiple independent stacks pass the vectors and interoperate. AI agents, finance, robotics, and space settle against the same receipts. Incidents are resolved by replaying signed evidence — not by arguing over logs.
Make correct behavior the path of least resistance.