VERITAS OS is an AI agent governance runtime for decision control, policy enforcement, approval workflows, audit trails, and replayable evidence before real-world actions.
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Updated
Jun 11, 2026 - Python
VERITAS OS is an AI agent governance runtime for decision control, policy enforcement, approval workflows, audit trails, and replayable evidence before real-world actions.
A deterministic attention and judgment engine for agent systems.
The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.
💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻
Enterprise environment management platform with integrated observability and AI automation. Kubernetes-native, multi-cloud support for AWS, Azure, GCP.
Operational approvals engine for Laravel applications.
Trusted autonomy T&E runtime that links mission needs, hazards, scenarios, telemetry, evidence, verification reports, and hash-chained ledgers so AI/autonomous decisions can be reviewed instead of merely trusted.
The safe commit layer for AI agents — approval, policy, and audit before any agent output reaches production
💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻
Structured procedure definitions for human-reviewable workflows that can be observed, authored, converted, or synthesized before runtime.
Safe AI-assisted incident triage MVP with n8n, Postgres audit logging, approval gates, and mock cloud integrations
AI agent operations project demonstrating trusted workflows, least-privilege tool access, approval-gated actions, and redacted audit trails.
Local-first Codex Control Center for observability, usage insights, vault health, and approval-gated workflow review.
Bounded shell and CLI execution for AI agents: structured contracts, policy-gated execution, hardened Linux runtime enforcement, and signed receipts.
Native iPhone operator cockpit for Hermes Agent: approvals, secret-redacted gateway control, and mobile supervision for agentic workflows.
Desktop runtime for humans and AI agents to share live coding sessions. Multi-provider agent orchestration (Claude/Codex), policy-gated approvals (Cedar), human-in-the-loop interventions, multi-agent channels, worktree-isolated execution, dual-signed cross-node dispatch, E2E-encrypted relay. TypeScript daemon + tRPC + Electron/CLI clients.
Fixture-backed Builder OS runtime slice for approval-gated AI workflows.
Open index of difficult local-machine workflows, boundaries, and end states.
Public showcase for ApprovalBrief AI: proofpacks for regulated launches, vendor integrations, AI tool rollouts, and approval decisions.
Clean-room research intelligence demo with synthetic data, redaction, approval queues, and report generation
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