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ToolExperimentalMCP
asqav-sdk
by jagmarques
Python SDK for agent governance, audit trails, policy enforcement, and quantum-safe signatures
Python
Updated May 18, 2026
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Overview
Provide a Python SDK for agent governance that captures audit trails, enforces policies, and signs events with quantum-safe cryptography. Integrates with popular agent frameworks (LangChain, CrewAI) and MCP messaging to attach verifiable governance metadata to agent interactions. Includes policy engines, tamper-evident logs, and verifiable signatures to support regulatory and forensic requirements. audit trails and verifiable governance metadata help anchor events in a trusted framework.
Key Benefits
As agents coordinate and delegate work, provenance and enforceable policies become essential for trust and accountability. This SDK surfaces agent behavior as verifiable events and policy checks, enabling trackable agent-to-agent interactions rather than opaque black-box calls. That visibility is a prerequisite for moving from ad-hoc tests to continuous Multi-Agent System trust and reputation systems. Additionally, it supports policy checks to ensure compliance across interactions.
Ideal For
Teams building multi-agent systems that need verifiable audit trails, policy gating, and integration with LangChain or CrewAI.
Applications
- Attach verifiable audit logs to agent-to-agent messages for post‑hoc analysis
- Enforce organization policies at runtime to block or flag unsafe agent actions
- Create tamper-evident signatures and provenance for compliance and audits
- Integrate governance metadata into LangChain or CrewAI workflows via MCP
Works With
langchaincrewaiopenai
Topics
ai-agent-governanceai-agentsai-complianceai-governanceai-securityaudit-trailcompliancecrewaidoraeu-ai-act+10 more
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Keywords
multi-agent trustagent-track-recordagent-governanceaudit-trail