AegisTrace
What it is
AegisTrace is a Go-based verifiable runtime for durable AI agents that compiles YAML workflows into sealed artifacts and records every execution effect in a hash-chained journal. It enables offline replay of runs without contacting external providers and generates signed Merkle proofs to verify individual events.
The problem it solves
AI agents are non-deterministic and lack verifiable execution records, making it difficult to audit, debug, or prove the integrity of their actions and state transitions.
What you could use it for
- Auditing AI agent actions for compliance and security
- Debugging non-deterministic AI workflows via offline replay
- Proving the integrity of specific events in an AI execution log
- Executing policy-bound workflows with strict budget and permission controls
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.