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PROVNAI Ecosystem#

The PROVNAI initiative provides the trust layer for the agentic future. Below is the unified Nexus for all core repositories, protocols, and forensic tools in the ecosystem.

Integration-Ready Templates#

Pre-configured deployment and evaluation paths for testing core PROVNAI ecosystem components with minimal overhead.


πŸ“¦ Repositories#

πŸ›‘οΈ vex#

VEX Protocol β€” The trust layer for AI agents. Adversarial verification, temporal memory, Merkle audit trails, and tamper-proof execution. Built in Rust.

vex-core

Core types including Fractal Agents, Genome, Merkle Trees, and Audit Logs.

vex-router

Intelligent LLM routing with cost/latency/quality optimization and adversarial detection.

vex-adversarial

Red/Blue agent debate engine and weighted consensus protocols for verification.

vex-temporal

Bio-inspired episodic memory with automatic decay and vectorized permanent storage.

vex-persist

SQLite-backed persistence for agents, contexts, audit logs, and embeddings.

vex-anchor

Multi-chain anchoring layer supporting Ethereum, Celestia, and OpenTimestamps.

vex-algoswitch

Dynamic runtime algorithm selection and optimization engine for VEX.

vex-runtime

Agent orchestrator and executor with built-in adversarial verification loops.

vex-llm

Provider-agnostic LLM interface with support for WebSocket, MCP, and circuit breakers.

vex-api

Flagship HTTP API server with JWT authentication and A2A protocol support.

vex-queue

Distributed background job processing for high-throughput agent operations.

vex-cli

Command-line interface for managing agents, verifying logs, and anchoring proofs.

vex-macros

Procedural macros for ergonomic agent definition and DNA mapping.

vex-chora

Decentralized governance and protocol state management.

vex-hardware

Hardware-level security and trusted execution environment (TEE) integration.

vex-server

High-performance P2P networking and gossip protocol for VEX agents.

vex-sidecar

L7 proxy and observability sidecar for monitoring agent communication.

πŸ›‘οΈ McpVanguard#

McpVanguard β€” Active firewall for the Model Context Protocol (MCP). It acts as a real-time 'Reflex System' between AI agents and their tools. Built in Python.

πŸ” vex-explorer#

VEX Explorer β€” Forensic tool for verifying the mathematical integrity of VEX Evidence Packets. Powered by a high-performance Rust core (WASM).

🐍 vex-sdk#

VEX SDK (Python) β€” Official Python client for building autonomous VEX fractal agents.

πŸ§ͺ provnai#

ProvnAI β€” Open Research Initiative building the immune system for AI. Verifiable trust layers for autonomous agents.

πŸ”‘ provn-sdk#

provn-sdk β€” Client-side SDK for privacy-preserving cryptographic signing. Hash and sign claims locally β€” raw data never leaves your device. Built in Go/Rust.

πŸ“‰ vex-halt#

VEX-HALT β€” Benchmark suite for AI verification systems. 443+ tests for calibration, robustness, honesty, and proof integrity.

πŸ›‘οΈ provnzero#

ProvnZero β€” Zero Knowledge. Zero Retention. Zero Compromise. High-performance ZDR proxy for AI APIs.


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