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Provide auditable, privacy-preserving evidence records for cryptographically identified agents
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Witness" yet — see the docs or source repo.
Use Witness to record evidence for an action performed by this cryptographically identified agent, including timestamp, input summary, output summary, and an append-only auditable record.
An evidence record bound to the agent identity, suitable for later audit and traceability.
Use Witness to create a bounded public contract for this agent task, defining allowed operations, responsibility boundaries, and recording requirements.
A bounded public contract description that helps constrain and govern agent behavior.
Use Witness to store an audit record for this multi-agent workflow, keeping only necessary evidence and summaries without exposing sensitive raw content.
A privacy-preserving audit record that still supports later verification.
Developers or researchers can use it to preserve evidence-oriented action records when deploying cryptographically identified agents. This creates a traceable, append-only audit trail for important tasks.
When a team needs to define what an agent may do and where responsibility ends, it can use the bounded public contracts capability. This fits automated workflows that require clear governance rules.
In situations where evidence must be kept while limiting exposure of sensitive information, it can create privacy-preserving records. It is suitable for workflows that balance verification with privacy.
It is an MCP tool that provides evidence-oriented services. Known capabilities include bounded public contracts, privacy-preserving records, and append-only audit for cryptographically identified agents.
Based on the description, it emphasizes evidence, cryptographic identity, privacy preservation, and append-only auditing, so it is more oriented toward security and verifiability. The provided material does not say whether it replaces a general logging system.
The provided information does not include installation steps, runtime requirements, or key requirements. For integration details, see the source repository.
Create offline-verifiable signed, witnessed, and timestamped receipts for AI agent actions.
Query persistent evidence memory for structured reverse engineering investigations.
Find jobs, create evidence-backed applications, and build offline job dashboards.
Verify receipts, check platform status, and simulate infrastructure attacks.
Issue and verify signed, timestamped provenance receipts for agent actions.
Create tamper-proof audit logs, integrity checks, and compliance reports for AI agents.