The operating layer
Each wall, closed by one piece of the layer.
Six pieces. The self-improving Context Brain at the centre; the rest make agents safe, shared, and compounding in production.
Closes wall 01 · the centre
Self-improving Context Brain
A shared, living context graph of how your company operates — streaming ingestion from your systems of record, smart extraction, entity resolution. It updates itself as your business changes, and gets smarter from every run.
Self-Learning Loop: every agent trace and every human correction feeds back. The brain compounds — model-agnostic, harness-agnostic, yours forever.
Closes wall 04
Compounding Skills
Built once, shared everywhere
Skills your team builds once, then shares, versions, and forks across the org. The 10th teammate starts from the 9th's best work, not from scratch.
Closes "lost outputs"
Agent-Native Storage
A System of Record built for agents
A store designed for how agents actually write, revise, and reference each other — not what SQL or NoSQL stores were built for. Output accrues into an owned, queryable system of record.
Closes wall 03
Safe Build & Deploy
Custom apps & autonomous workers
Build custom AI workflows and apps shaped to how you operate — and promote a skill into an autonomous, integrated worker. Sandboxed, scanned, governed.
Closes wall 02
Access Control & Audit
One gated, audited door
Per-skill, per-agent, per-team scopes. Revocable. Auditable. A kill-switch. Engineering provisions templates, not tickets — no raw keys on laptops.
Closes walls 05 + 06
Traces & Self-Learning Loop
Visibility your AI team can read
Every skill run and tool call captured — cost, latency, success rate, hallucination signal. Set the rails once so eng isn't the bottleneck; the brain learns from every correction.