Attestix
Open-source (Apache-2.0) core for AI agent identity, verifiable credentials, delegation chains and hash-chained audit evidence. 47 MCP tools and verifiers in Python, JS, Go, Rust, Java and R, producing compliance evidence for EU AI Act requirements.
PyPI downloads (all time, pepy.tech, Sep 2026)
12,000+
MCP tools
47
Tests passing (v0.4.1)
585
Highlights
- 47 MCP tools across 9 modules
- W3C Verifiable Credentials and DID support
- Automated evidence for EU AI Act compliance
- On-chain anchoring via Ethereum Attestation Service
- 585 passing tests in v0.4.1 (23 Jun 2026, per release notes)
- Verifiers in Python, JS, Go, Rust, Java and R
- Hash-chained audit evidence and delegation chains
Overview
Attestix is an open-source Python library that provides verifiable identity, credentials, and compliance evidence infrastructure for AI agents. It implements W3C standards for decentralized identity and verifiable credentials, with built-in support for generating evidence for EU AI Act requirements.
Key Features
- Verifiable Identity: Create and manage DID-based identities for AI agents with Ed25519 cryptographic signing
- W3C Credentials: Issue, verify, and revoke verifiable credentials following W3C VC 1.1 and DID 1.0 standards
- EU AI Act Compliance Evidence: Automated conformity self-assessment evidence covering 13 articles, Annex III, and Annex V
- On-Chain Anchoring: Anchor credentials and audit trails to Base L2 via Ethereum Attestation Service
- MCP Integration: 47 tools exposed as Model Context Protocol tools for seamless AI agent integration
Standards Coverage
25 standards fully implemented including RFC 8032, UCAN v0.9.0, RFC 8785 (JCS), Multibase, Multicodec, and EIP-1559. Conformance verified through 91 benchmarks across 6 test suites.
