Zero Trust
Top open-source Zero Trust AI systems, agents, and MCP tools.
Discover and install verified Zero Trust AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (10)
Open in Advanced FilterOpen-source platform for multi-agent AI orchestration, real-world asset tokenization, workflow automation. Includes OAuth 2.1 MCP agent management, a 44-field RWA schema, Stripe, designed to integrate with AetherNet QUAS & KVS sovereign, post quantum, architecture agnostic omni-substrate, semantic memory, & institutional settlement system.
Connect AI agents to your customers' on-prem data — read-only, time-boxed, customer-approved, audited. Plus tunnels and deploys.
Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with the controls enterprises need.
Think before doing, prove before saving. Vestige is the local-first cognitive operating system and deterministic safety kernel for autonomous AI agents. Powered by FSRS-6 causal graph memory, cryptographic Merkle-chained state ledgers, and out-of-band kernel gates bringing frontier PhD reasoning to local silicon with zero cloud token tax.
Zero-GPU-idle gateway for running ComfyUI on ephemeral Google Colab VMs with Zero-Trust Access
Security control plane for AI agents — identity and delegation, capability policy, data-flow taint and a live audit trail, enforced over MCP. Guards a real Claude Code end to end.
One Hermes conductor. Many coding CLIs. Zero trust in self-reports. Production multi-harness orchestration patterns: worktree lanes, verification gates, recovery playbooks — from 18 kanban boards and every incident that tried to ruin them.
Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16 languages, zero deps.
Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.
Build & Monetize for Zero Trust
Have you created an autonomous agent, MCP server, or Claude Code skill for Zero Trust? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

