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Open specifications

Specifications

Open specs for AI agent governance. These are not PrimeSwarm product docs — they are framework-agnostic standards that any governance system can implement.

Why we publish open specs

If auditors expect a common receipt format, it doesn't matter what governance system an enterprise uses. The auditor asks for a PSR-001 receipt. The enterprise has to produce one. Any system can — the spec is open. This is not a moat through secrecy. It's a moat through standardization.

PSR-001Draft v0.12026-09-12

Receipt Format Specification

A framework-agnostic receipt format for AI governance decisions

Defines a cryptographically verifiable receipt that proves a governance gate evaluated a specific input against a specific policy and produced a specific decision. Any system — PrimeSwarm, Microsoft AGT, NVIDIA NeMoClaw, or custom — can produce conforming receipts. An auditor can replay the evaluation and verify the decision without trusting the system.

  • Framework-agnostic — any policy language (only-lang, yaml, rego, cedar, python, custom)
  • Cryptographic — SHA-256 receipt hash, optional Ed25519 signature
  • Replayable — includes replay_inputs for independent verification
  • PII-safe — input is hashed after sanitization, raw PII never in the receipt
  • SIEM-ready — JSON format, designed for Splunk/Datadog/Elastic/QRadar

Roadmap

Future specifications in the PSR series.

PSR-002

Batch receipts

Multiple decisions in one document. For high-throughput systems that produce thousands of decisions per second.

PSR-003

Merkle chain

Hash-linked receipt sequences. For systems that need ordered, tamper-evident audit trails across time.

PSR-004

Cross-system attestation

Multiple governance systems co-signing a single decision. For multi-layer deployments (e.g., NeMoClaw + PrimeSwarm).

Feedback

These specs are drafts. We want feedback from auditors, compliance officers, SIEM vendors, governance system vendors, and standards bodies. If you are evaluating this format for your organization, we want to know what's missing.

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