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Project Summary

Lightweight SDK that makes agentic AI safer and more auditable.Before executing any tool call or side-effect action, the agent must propose a structured JSON contract declaring:

- explicit intent
- impact classification (read / write / money / irreversible / privacy / etc.)
- provenance sources with trust levels (untrusted → trusted via verification)
- claims backed by verifiable evidence (SHA-256 file hashes or Ed25519 signatures)

Verifier checks everything locally and fails closed if provenance doesn't match or high-impact actions lack trusted evidence.

Integrates easily as middleware (LangGraph tool-node wrapper) or via MCP for enterprise tool guarding.

Tags

Agentic ai ai-agent ai-safety cryptographic ed25519 evidence-verification fail-closed governance hallucination-mitigation intent-contracts langchain langgraph mcp prompt-injection provenance python-sdk tool-calling verifiable

In a Nutshell, pic-standard...

Quick Reference

Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

30 Day Summary

Jan 9 2026 — Feb 8 2026

12 Month Summary

Feb 8 2025 — Feb 8 2026
  • 62 Commits
    This project is less than 12 months old.
  • 2 Contributors
    This project is less than 12 months old.

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