Trust Scoring Python Packages

vault-for-llm

Local-first memory governance for AI agents: shared, reviewable, auditable memory via SQLite and MCP.

cats-scoring

Trust intelligence scoring for OSINT sources — behavioural reliability analysis, GDPR & EU AI Act compliant.

a2a-greenhelix-sdk

Agent-to-agent payments, escrow and formal verification services

gauntlet-cli

Community-driven behavioral reliability benchmark for LLMs. 231 probes across 19 modules, deterministic scoring, perplexity correlation, layer sensitivity mapping, quant method capture, hardware-stratified community rankings. Every test contributes to the community dataset.

veriswarm-mcp

Official SDKs and MCP server for VeriSwarm — trust infrastructure for AI agents

garl-protocol

Cryptographic verification for AI agent actions — ECDSA-secp256k1 + RFC 6979 signed Action Receipts (v0.1), multi-dimensional Trust Vector, capability tokens (JWT-shaped + Biscuit-style attenuation), UETA §10(b) undo. 29 MCP tools. A2A v1.0 + ERC-8004 format compatible. Receipt-batch Merkle roots anchored on Base mainnet. Starting with code.

good-egg

Trust scoring for GitHub PR authors based on contribution history.

truthlens

AI hallucination detector with formally verified trust scoring for LLM outputs. No API keys needed.

agentic-workforce-framework

An operating model for autonomous agent teams. Identity, task contracts, failure memory, trust scoring and audit for teams that want to operate agents as an accountable workforce.

veriswarm

Official SDKs and MCP server for VeriSwarm — trust infrastructure for AI agents

life-haima

Open-source Rust runtime for autonomous agents — 13 modules, 76 crates, 2625 tests. Event-sourced persistence (Lago), homeostatic regulation (Autonomic), x402 payments (Haima), cryptographic identity (Anima), distributed networking (Spaces), metacognitive evaluation (Nous), OpenTelemetry observability (Vigil).