Multi Agent System Development Services
Packages & Pricing.

Multi agent system development with LangGraph

Multi agent system development lets several AI agents split a job, pass work to each other and keep a shared memory of progress. Omeiro builds these systems on LangGraph and StateGraph, with task routing, persistent state and recovery when a step fails.

You receive source code and a graph design that your engineers can read, extend and test.

Multi agent system development: knowing when one agent is enough

Many tasks do not need several agents. Multi agent system development adds coordination cost, so it pays off when a single agent is overloaded with tools, when stages need different instructions or when parallel work saves real time. Before ordering, try describing the task as one flow with branches. If the branches share little context and need separate tools, a graph of agents may be appropriate, and your sketch becomes the first draft of the design.

State and failure are the hard parts. Shared memory must be organised so agents read what they need without flooding each other with context, and a crash halfway through should resume from a saved point. Multi agent system development benefits from tracing, which reveals which agent made which decision. Tell us how long runs take, how many run in parallel and where state should live, whether Postgres or Redis, and we size the design to your infrastructure.