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Agent Evidence Recorder
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About Agent Evidence Recorder
Agent Evidence Recorder provides an audit-ready evidence layer for AI agent workflows, designed to prove what agents did without exposing sensitive information. It captures critical actions such as model calls, tool calls, human approvals, redactions, and errors, compiling them into a chronological timeline of events. The tool ensures sensitive values are never stored in clear text, instead preserving only hashes and findings to maintain confidentiality. Each evidence packet is hash-anchored with a SHA-256 seal, making it portable and independently verifiable outside the system. This approach supports compliance, legal, and security reviews by offering tamper-evident records of agent behavior. Agent Evidence Recorder operates as a lightweight layer that integrates seamlessly into existing agent workflows, providing verifiable documentation of agent actions without retaining raw sensitive data. It is particularly suited for organizations requiring transparent, auditable records of AI agent operations while protecting confidential information.
Key features
- Chronological timeline of model calls
- Tool call logging
- Human approval tracking
- Error and exception recording
- Automatic redaction of sensitive values
- SHA-256 hash anchoring
- Portable JSON audit packets
- Redaction by default
Use cases
- Compliance audits for AI agent deployments
- Legal documentation of agent actions
- Security reviews of AI system behavior
Pros
- Captures chronological timeline of agent actions
- Redacts sensitive data by default
- Generates portable, hash-anchored evidence packets
- Designed for compliance and audit purposes
- Free to use
Cons
- No explicit support for real-time monitoring
- Limited to evidence recording (does not analyze agent behavior)
- May require integration effort for existing agent systems
Frequently asked questions about Agent Evidence Recorder
What does Agent Evidence Recorder do?
Agent Evidence Recorder generates audit-ready evidence packets for AI agent runs by capturing critical actions such as model calls, tool calls, human approvals, redactions, and errors. It creates a chronological timeline of these events while ensuring sensitive values are never stored in clear text.
Who is Agent Evidence Recorder designed for?
The tool is designed for compliance, legal, or security reviewers who need to prove what an AI agent did without exposing confidential information. It provides verifiable records of agent behavior for auditing purposes.
How does Agent Evidence Recorder handle sensitive data?
Sensitive values are never stored in the clear; only hashes and findings are retained. Each evidence packet is hash-anchored with a SHA-256 seal, ensuring confidentiality and verifiability.
Can the evidence packets be reviewed outside the system?
Yes, the evidence packets are portable and reviewable outside the system due to their hash-anchored JSON format. This allows for independent verification of agent actions.
How do I get started with Agent Evidence Recorder?
You can get started by signing in or installing the package via npm. The tool is designed to be lightweight and integrates into agent workflows to provide verifiable records.
Does Agent Evidence Recorder store raw sensitive values?
No, raw sensitive values are never persisted. Only redacted findings and hashes are stored to maintain confidentiality while providing audit trails.
