#provenance

AI Agent Trust Registry — independent, evidence-based trust scores for 300+ open-source AI agents. Runtime-trust calibrated (MCP, dependencies, provenance drift), with side-by-side comparison and embeddable live badges. Ranked by verifiable signals, not hype.

Give AI proven facts — a cryptographically verified truth layer for agent AI, built on ZK proofs, selective disclosure, and on-chain provenance.

Causalontology - the world's first programming-language-neutral standard and shared commons for reified causation. AGI's Missing Link.

Trust what you ship: download and verify browser extension artifacts (zip structure, manifest, metadata) and emit a deterministic JSON report for CI release gates.

Hachure — an open trust format. Specification, normative schemas, and conformance test vectors. npm: hachure

Опис репозиторію не опубліковано.

The verifiable trail of agent actions — signed, tamper-evident execution receipts for AI agents (MCP & A2A).

🐣 Create and set up new npm packages w/ trusted (OIDC) publishing - for one package or a whole monorepo

Опис репозиторію не опубліковано.

Local-first Go library for immutable forensic evidence, provenance, and reproducible artifacts.

MCP server for PayPerByte — pay-per-call USDC data feeds for AI agents (x402 on Base; EIP-712 attestations). No API keys, no token.

This is the boltzmann sdk in python to be used when interacting with the protocol

Pure-Go (no cgo) C2PA / Content Credentials library for JPEG & PNG: a fast unverified reader plus full cryptographic validation (signature, cert chain, hash bindings, RFC 3161 timestamp).

Reviewable AES-256-GCM educational tool with Argon2id, JSON envelopes, and safe-mode streaming.

Spor — a shared memory substrate for teams and agents. Decisions, their reasons, and the traces they leave.

A deterministic local configuration resolution engine with value-level provenance tracking, validation boundaries, and secret redaction for TypeScript/Node.js.

Guardrails for AI agents, with a receipt. Blocks destructive tool calls before they run and signs every decision into a hash-chained record anyone can verify with an open-source tool.

Vector memory that gets smarter every time your agent uses it.