AI-Native Trust Infrastructure
See how your AI agents behave.
AI agents act on your behalf — calling tools, touching real systems. P-MATRIX turns each agent's behavior into a tamper-evident record it can show: to you, an auditor, or another agent. It reads behavior, never content.
The Gravity of Trust.
Logs tell you that an agent ran.
P-MATRIX shows how it behaved — without reading what it handled.

LIVE
Behavior record Illustrative ✓ Verified
coding-assistant session a1f2 · acting for User 1
What it did edit_filerun_testshttp_request
Checked by an independent verifier  ✓
Content read none — prompts & outputs stay private
→ A record the agent can carry and show anywhere — to you, an auditor, or the next agent it works with.
Illustrative — sample data, not a live run.

P-MATRIX makes an agent's behavior legible — to its user, an auditor, or another agent — without anyone reading the work itself.
Behavior, not content
We watch what an agent does — the tools it calls, the actions it takes. Never the prompts or answers it handles.
A record it can show
Each run becomes a tamper-evident record the agent carries with it — reusable wherever trust needs to be shown.
Operator-run, not on-chain
Trust clears through a neutral operator, the way a card network settles a payment. No blockchain, no token, no copy of your data.

LIVE
Drop-in monitors for the agent stacks you already use. One install. Runs on your machine — no content leaves it.
OpenClaw Claude Code Cursor Gemini CLI Codex Hermes
$ openclaw plugins install @pmatrix/openclaw-monitor
github.com/p-matrix  ·  Open Dashboard

The same trust records work at two scopes — told apart by where the trust boundary sits, not by order.
Within your organization
one trust boundary
Self LIVE
One agent makes its own behavior verifiable.
Other BUILDING
Your agents check each other before they work together.
Across organizations
independent parties
Field VISION
Verified agents carry portable trust into a neutral network where reputation is earned.
Same records underneath. The difference is the trust boundary — not the order.

We build P-MATRIX the same way we ask you to run your agents — checked, verified, on the record. We were our own first customer.
Built with AI
We build with AI agents as a verified team — every change checked and recorded, the way we watch yours.
On its own trust layer
That work runs on the same trust layer the product is made of — identity, evidence, and history.
Proven on ourselves
What we proved on ourselves first is what you run. Not a slide — a system we live in.

Mutual-verification protocol
Zenodo · doi:10.5281/zenodo.18683912
Runtime state representation
Zenodo · doi:10.5281/zenodo.18682846
Underlying technology is patent pending.