What you can build.
Common shapes of AI Agent work in TypeScript — each with the mechanism, when it fits, and a full walkthrough with runnable code.
Independent LLM work shouldn’t run one call after another. open-multi-agent runs the independent agents at once and merges their typed results.
See how →In most agent frameworks you draw the task graph by hand. open-multi-agent builds it for you from a goal.
See how →Use a strong model where it earns its cost and a cheap one everywhere else — in the same team, in one run.
See how →Keep the data on your machine: open-multi-agent runs against a local Ollama endpoint just like a cloud provider.
See how →MemoryStore is a namespaced key-value persistence primitive. Use it for durable shared state; add a retrieval layer when you need semantic long-term memory.
See how →Keep the AI SDK for streaming and model calls; add open-multi-agent for the coordination layer above it.
See how →Taking this to production?
open-multi-agent is MIT-licensed and free to run yourself. When you need it delivered, integrated, or supported on a deadline, 元定义科技 (YuanASI) offers commercial delivery and support.