Not “a framework for writing agents” — it is the layer that runs them. The Agentic Product Standard tells you how to build one correct agent or system: durable execution, observability, security. AgenticOps implements what comes after — running many long-lived agents as deployed infrastructure. An agent becomes a versioned, deployable manifest; a coordinated scheduler fires it across replicas without double-runs; a durable backlog survives restarts; every run is bounded and cancellable; and a default-deny matrix governs which agent may call which. The operations plane, kept deliberately lean — a runner is a function with limits, not a platform.
Everything you need to run an agent fleet in production — and nothing you don’t.
Each agent is a versioned manifest — limits, runtime, schedule, env — distinct from its design-time contract. The same definition runs in dev and prod, with agent logic kept separate from the platform prompt.
Fleet cron with a fire-once lock across replicas and misfire handling — runs missed while the fleet was down are coalesced, never silently dropped.
A SQLite-backed FIFO that survives restarts. Tasks are claimed under a lease; a dead worker’s lease expires and the work is re-claimed, so nothing is lost.
Every run carries an explicit max-turns ceiling, a wall-clock timeout and graceful cancellation. No unbounded loops, ever.
An append-only operational audit of lifecycle, auth and tool events, plus per-agent heartbeat and health — layered on per-run traces, OTel-ready.
A default-deny “who may call whom” matrix derived from each manifest, enforced fail-closed on a real delegation path with a full audit trail.
To help you with any questions that are not listed here, we offer free, no-obligation consultations
Frameworks help you write an agent. AgenticOps runs many of them as infrastructure — scheduling, a durable backlog, bounded execution, fleet observability and inter-agent policy. It wraps any runtime (Claude Agent SDK, Claude Code, Gemini) rather than replacing it.
Apache 2.0, on GitHub (Moai-Team-LLC/AgenticOps). Free to use, self-host and build on, including commercially.
It’s Bun-native — it uses bun:sqlite and bun:test, so it runs on Bun ≥ 1.1 with no build step. One embedded datastore: no Redis, no external queue.
They’re complementary reference implementations of the Standard: AgenticMind is the knowledge & memory layer agents think with; AgenticOps is the runtime & operations layer they run on.
AgenticOps is the reference implementation of the Standard’s Fleet operations surface — manifest, scheduling, durable backlog, bounded execution, observability and inter-agent policy, mapped to code.
Yes. We wire AgenticOps into your agents and stand up the operations plane as part of our agentic software development work. Reach out below.
More from our agentic practice — the standard we build to, the open-source layer that implements it, and the team that ships it.
Want to run your agents like infrastructure, not a demo? Let’s talk.