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 30, 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.
Portfolio work management platform for permissioned boards, rollups, approvals, dependencies, notifications, and executive delivery views.
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.
Native iPhone operator cockpit for Hermes Agent: approvals, secret-redacted gateway control, and mobile supervision for agentic workflows.
Safe AI-assisted incident triage MVP with n8n, Postgres audit logging, approval gates, and mock cloud integrations
Bounded shell and CLI execution for AI agents: structured contracts, policy-gated execution, hardened Linux runtime enforcement, and signed receipts.
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.
Planable APIs.json profile
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