General-purpose enterprise orchestrator on Google ADK + Vertex AI Agent Engine. Multi-agent system with risk tiers (R0-R4), policy gates, evidence bundles, and Mission Spec v1 workflows.

A governed world-model evidence layer for AI agents: simulate bounded scenarios, track assumptions, score prediction-vs-reality error, and produce human-reviewable execution evidence.

Governed cognition substrate for AI engineering agents: mission envelopes, evidence-bound belief/plan graphs, quarantined memory, model-role review, sentinel checks, and BlackFox handoffs under human authority.

The agent loop, embodied. Tool-using runtime + fail-closed safety pipeline + sim-first execution + statistically-rigorous bench harness + post-hoc analysis (counterfactual replay, causal attribution, LLM judge, property mining) for embodied AI. Sister project to GhostLM.

🛡️ Enterprise DevSecOps pipeline with Nexus Repository, security scanning, and policy gates

Governed agent runtime reference with policy gates, tool schemas, failure modes, and OpenTelemetry-shaped traces.

AO Operator profile for guarded coding-agent workflows, policy decisions, isolated workspaces, and evidence packs.

Local autonomous agent CLI for turning Codex and Claude Code subscriptions into repeatable agent teams. Start here.

Governed agentic execution fabric. Policy gates, signal mesh, proof ledger, and Λ invariant runtime.

🔧 Build a secure DevSecOps pipeline with automated vulnerability scanning and policy gates for CI/CD, ensuring robust software delivery and compliance.