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.
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 💻
AI agent operations project demonstrating trusted workflows, least-privilege tool access, approval-gated actions, and redacted audit trails.
Structured procedure definitions for human-reviewable workflows that can be observed, authored, converted, or synthesized before runtime.
Bounded shell and CLI execution for AI agents: structured contracts, policy-gated execution, hardened Linux runtime enforcement, and signed receipts.
Reference patterns for in-product AI assistants with typed actions, approval gates, and append-only audit trails.
Open index of difficult local-machine workflows, boundaries, and end states.
Open-source operating system for AI-powered agencies. Deploy AI agents for each client, control what they can do with trust scores and approval flows, and share a live portal so clients see results in real time. Self-host in minutes.
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.
Full-stack AI-powered expense management platform with receipt OCR, configurable approval workflows, audit trails, and PWA offline support.
Approval-gated side effects for AI agents. Agents propose, humans approve, executors act.
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