The AI agent orchestration tool that keeps agents, people, and work on one surface
When your agents can't hand off work without human intervention, your team fills the gap.
Aixle Flow sits between your agents and your team: routing each step to the right worker, pausing for approval where you want it, and keeping the full run visible from start to finish.
Agents are everywhere.
The work between them isn't.
AI agent orchestration is the layer that decides which agent or person handles each step and hands off work automatically.
Most teams are shipping agents without one, so the gaps fill in on their own: tracked in Slack, handed off by copy-paste, invisible to anyone outside the room.
Every agent runs with its own context. Capability never compounds.
Moving work from agent to person means a human copy-pasting state across tools.
One tool that decides, routes, and keeps every step on record
Aixle Flow runs its own plan, execute, evolve loop: define the rules, run within them, and manually refine the next run based on what the workflow analytics show.
Each step goes to the right agent or person automatically, with shared context attached. No copy-paste, no dropped state.
A workflow can include a manual checkpoint: approve, retry, or skip, right inside the run, not as a side conversation.
Human-in-the-loop steps route to the reviewer automatically, with a log of every action taken. Context carries with the work, so whoever picks it up has everything they need.
Plan. Execute. Evolve. One AI agent orchestration loop.
Three stages that run in sequence and feed each other. Each one has a clear role: define the rules, run within them, and review what happened to improve the next one.
Flow is the Execute layer of that loop: the part that actually moves work through the system, step by step, with every decision logged and every handoff routed to the right agent or person. Plan and Evolve happen around it, in Aixle's operating model.
Define tasks, assign agents, set the rules before anything runs.
Aixle Flow routes and acts, step by step, agent by agent, pausing for approval where a checkpoint is set, with every action logged.
Someone reviews what a completed run produced and manually refines the workflow, prompts, or steps for the next one.
Handoffs that stay in the flow
AI agent orchestration isn't only agent-to-agent. Aixle Flow treats the handoff to a person as a governed step in the workflow, human-in-the-loop by design, not a Slack message someone has to notice.
Each step reaches the right agent or person without anyone moving it there by hand.
Pause for an explicit approval, retry, or skip. Sign-off lives in the workflow, not in a Slack thread.
Whoever picks up the next step has everything the last one produced.
Self-hosted in your own Docker, or managed by Aixle
Aixle Flow is available open source and self-hosted on your infrastructure, or as a managed service through Aixle if you'd rather not run it yourself. No extra runtimes, no vendor access to your code or credentials on the self-hosted path.
The AI agent orchestration tool most competitors skip
Plenty of tools run a single agent well. Few pair that with a board, event-driven workflows, a human-in-the-loop checkpoint, and infrastructure you actually control.
Devin, Cursor, Copilot, and Factory Droids are managed, cloud-only products: no setup required, but no control either. Aixle Flow runs on your own infrastructure with your own API keys, and it ships the orchestration primitives, workflows, triggers, and a human-in-the-loop checkpoint that most competitors don't have.
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your agents?
We can help you get Flow running inside your infrastructure.
Frequently asked questions
AI agent orchestration is coordinating multiple AI agents and human reviewers within a single workflow: deciding what runs next, pausing for review where you want it, and handing work off automatically between agents and people. Aixle Flow is the tool that does this.