Trust scoring for GitHub PR authors based on contribution history.
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Updated
Apr 12, 2026 - Python
Trust scoring for GitHub PR authors based on contribution history.
🧠 Local-first knowledge system for LLM agents — sqlite-vec + ONNX embeddings, no cloud/Docker/PyTorch dependency
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Claude Desktop & any MCP client. 100% local, open source, free.
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.
TRUCE Agent Trust Framework (TATF) — Open standard for autonomous agent trust scoring. Apache 2.0.
Cryptographic verification for AI agent actions — signed Action Receipts (v0.1), multi-dimensional Trust Vector, capability tokens (JWT-shaped + ECDSA-secp256k1 + Biscuit-style attenuation), UETA §10(b) undo. 28 MCP tools. A2A v1.0 + ERC-8004 format compatible. Starting with code.
Explainable AI-Powered URL Trust Intelligence Engine — 15+ parallel analysis engines, hybrid 70/30 rule+AI scoring, brand impersonation detection, behavioral analysis, and full-transparency evidence breakdown. Self-hosted, open-source.
AI-native version control system that extends Git for autonomous agent workflows. Tracks decisions, not just diffs. Tournament-style parallel execution, trust-based reputation scoring, and full chain-of-thought lineage.
Official SDKs and MCP server for VeriSwarm — trust infrastructure for AI agents
AI-powered supply chain risk monitoring platform with blockchain verification, dynamic trust scoring, and role-based dashboards. Features 3 specialized AI agents, ML anomaly detection, and Algorand integration.
AI Evaluator Pro 🛡️ is an AI security auditing tool that checks Hugging Face models for supply chain risks, unsafe formats, and author trust using OSINT + LLMs. It supports direct or discovery-based audits to detect security and integrity issues before deployment.
Append-only B2B supplier verification ledger with explainable trust scoring (AI-powered).
A modular composite trust scoring framework for Sybil-resilient permissionless blockchain networks
AI-powered content moderation API with toxicity detection and trust scoring built using FastAPI and Transformers.
Adaptive-HTFL is a novel federated learning framework designed for secure, resource-constrained smart campus IoT deployments. It addresses three critical limitations of existing FL systems:
AI-powered LLM trust and ranking analysis platform for financial products
Agent-to-agent payments, escrow and formal verification services
Trust-gated AI agent examples. Check CraftedTrust before connecting to any MCP server. Python (LangGraph) + TypeScript.
Trust intelligence scoring for OSINT sources — behavioural reliability analysis, GDPR & EU AI Act compliant.
Multi-source data scraping pipeline with trust scoring system to evaluate content reliability across blogs, YouTube, and PubMed.
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