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@agentguard-run/trace

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Signed tamper-evident audit trails and DAG trust chains for AI agent execution. Ed25519 receipts chain across turns and agents. Cannot be altered post-execution, even by the infrastructure operator.

Package Exports

  • @agentguard-run/trace
  • @agentguard-run/trace/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@agentguard-run/trace) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

@agentguard-run/trace

Signed, tamper-evident audit trails and DAG trust chains for AI agent execution.

Every agent action is Ed25519-signed at execution time. Receipts chain across turns and agents via directed acyclic graph (DAG) attestation. Cannot be altered post-execution, even by the infrastructure operator.

Status

In production. AgentGuard Trace secures autonomous decisions across 6 production ML models, 11M+ sensor readings, and 320 site-years of data in a live commercial agricultural AI deployment.

Full SDK available under private preview. Contact invest@agentguard.run for evaluation access, OEM licensing, or strategic partnership inquiries.

How it works

Agent A ──► [Ed25519-signed receipt] ──► Agent B ──► [Ed25519-signed receipt]
                                              |
                                              v
                                       DAG attestation graph
                                       (every hop independently verifiable)

No operator can forge or delete a valid Ed25519 signature without the private key, which never leaves the customer runtime.

Patent notice

See PATENTS.md. Protected by 5 U.S. patent-pending applications filed February and May 2026, covering the DAG attestation architecture, signed receipt chaining, and multi-agent trust chain.