Why Agent Orchestration exists

AI coding agents got good enough to hand real work to. Running them did not get easier: they stop at usage limits, lose context, crash, live on one laptop, and declare success whether or not the tests pass.

Agent Orchestration is the layer around them. It keeps a queue, puts tasks on the machines that have the code, picks an agent and a model, recovers when something goes wrong, checks the result with your own tests, and delivers it through your Git workflow. It does not replace the agents; it makes them dependable.

How we build it

• Agent-neutral. No agent is special-cased in the core; each is an adapter verified against the real CLI.
• Honest about status. The documentation says what was tested against a real service and what only against a stand-in.
• Self-hosting is the product. The managed cloud runs the same software; it sells operations, not features.

Source and license

The core is developed in the open at github.com/ankulalwani/agent-orchestration. License status: License pending — see the license page.