PLATFORM
Build, run, and govern agents on one runtime.
AgentAnywhere is four products on a single runtime: Flow Studio for visual design, Agent Lab for code-first development, Orchestrator for multi-agent execution, and Registry for governed lifecycle. Designed to be operated by the people who already operate your enterprise systems — not replaced by them.
An agent platform is four products, not one.
Most agentic AI platforms ship a single tool and call it a platform. A flow editor with no code escape hatch. A code SDK with no visual surface for the people who actually staff operations. An orchestrator without a registry. A registry without lifecycle.
Real production deployments need all four. The visual builder is for the operations analyst who knows the process. The code surface is for the engineer who has to wire the agent into Workday, SAP, or a homegrown core banking system. The orchestrator is for the moment when one agent's output has to become another agent's input, with handoff that survives a rollback. The registry is what makes any of this auditable a year from now.
AgentAnywhere ships all four. They share a runtime, a permissions model, and an audit trail by design.
Four products. One platform.
Flow Studio
Visual agent design for the people who own the process. Drag-drop steps, branch logic, human-in-the-loop checkpoints, and a live preview that runs against the same runtime as production. Output is a versioned flow definition — not a prototype that has to be rewritten before it ships.
Agent Lab
Code-first development for engineers who need the full surface area. TypeScript and Python SDKs, local debugging, structured prompt management, and a test harness that mocks tools, models, and external systems. Flows authored in Lab and Studio share the same runtime — neither is a downgrade of the other.
Orchestrator
Multi-agent execution with a coordination layer that treats agents as services with contracts. Routing, retries, idempotency, structured handoffs, and durable state. Failure modes are first-class — every step has an explicit fallback, every handoff is logged, every restart is deterministic.
Registry
Governed lifecycle for every agent, flow, prompt, model, and policy in your deployment. Approval workflows, named owners, deployment events that chain cryptographically, and a `DRAFT → STAGED → PRODUCTION → RETIRED` state machine. The Registry is what your audit team reads when an incident demands a paper trail.
Designed for the people who actually run agents.
An agent in production has at least three constituencies. The engineer who built it. The operations team that monitors it. The compliance officer who has to defend it. AgentAnywhere is built so each of those roles works inside their own surface, against the same shared model of the agent.
An operations analyst makes a flow change in Studio. The change writes a new draft version into Registry, surfaces a diff to the named owner, and stays unreachable from production until the owner approves. The same change is visible in Lab to the engineer, who can run the test harness against it locally before the approval ever lands. Observe records the deployment as a single auditable event with both signatures attached.
This is the operating model. Not three platforms with overlapping concepts and brittle integrations — one platform with one model, surfaced differently for each role.
Production-ready by default.
AgentAnywhere does not have a separate "enterprise edition" toggle that turns on the production-readiness work. Sovereign deployment, governance, and audit are part of the platform — not features you bolt on when a regulator notices.
Every flow you author can be deployed into a sovereign environment without rework. Every agent you ship inherits the platform's policy bindings, audit trail, and lifecycle. Every model you select carries its evaluation history, fairness measurements, and approval record from Model Hub. The path from prototype to production is the same path, with the same controls, run more times.
We do not promise that the first agent you build with AgentAnywhere will be production-grade. We promise that the platform underneath it is, and that no engineering team has to build that floor themselves before they can ship.
Run a pilot on real workloads.
Pilots run on your infrastructure, against a workload you choose, with our solutions team alongside yours. Most pilots scope to six to ten weeks and focus on a single agent that has to clear an internal review or a regulatory threshold. We do not run open-ended trials.