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.
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.
Memory defense for AI agents — stops MINJA, AgentPoison, and MemoryGraft attacks. Zero dependencies.
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).
Bayesian change-trust layer. Autonomously scores every AI code edit in real-time, instantly flagging the exact files that demand human review.
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.
TRUCE Agent Trust Framework (TATF) — Open standard for autonomous agent trust scoring. Apache 2.0.
Persistent, trust-scored project memory for AI coding agents — MCP server + CLI, backed by PostgreSQL + pgvector.
Multi-agent orchestration with self-evolution, cognitive memory, and governance.
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.
Real-time blockchain fraud detection using autonomous multi-agent AI swarms. Detect fraud in <2s with 150x faster vector search (HNSW), 84.8% accuracy, and 73% cost reduction. Features ERC-1155 trust scores, MCP integration, and reflexion learning.
Structured fact memory MCP server — SQLite + FTS5, trust scoring, entity graph, auto-observe, bilingual retrieval for AI coding assistants
Official SDKs and MCP server for VeriSwarm — trust infrastructure for AI agents
MCP package manager with built-in trust scoring. Search, install, and audit MCP servers across Claude Desktop, Cursor, VS Code, and Windsurf.
Protect AI agent memory from poisoning attacks with a zero-dependency shield that fits Mem0, LangChain, or custom memory systems.
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.
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