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Open Multi-Agent: TypeScript Multi-Agent Orchestration Framework

Open Multi-Agent is an open-source TypeScript framework for building multi-agent AI orchestration with goal-driven task DAGs, parallel LLM calls, and mixed-model teams. It provides a coordinator agent that decomposes goals at runtime, runs independent nodes in parallel, and synthesizes typed results, supporting cloud, local, or air-gapped models.

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About this tool

What is Open Multi-Agent?

Open Multi-Agent is an open-source TypeScript framework for multi-agent AI orchestration, designed for AI engineers and TypeScript developers. It enables you to build goal-driven task DAGs, parallel LLM calls, and mixed-model teams.

Core Capabilities

  • Runtime Task DAGs: A coordinator agent decomposes a goal into a task DAG at runtime, runs independent nodes in parallel, and synthesizes a typed result.
  • Mixed-Model Teams: Mix any model in one agent team—use a strong model where it earns its cost and a cheap one everywhere else, in the same team, in one run.
  • Local & Private Deployment: Runs against a local Ollama endpoint just like a cloud provider, allowing the whole team, coordinator included, to run on a small local model at zero API cost.
  • Vercel AI SDK Integration: Acts as a coordination layer above a Vercel AI SDK app, keeping the AI SDK for streaming and model calls.
  • Flexible Configuration: Give the planner its own model, adapter, or extra instructions without touching the worker agents.

Use Cases

  • Turn a goal into a task DAG at runtime
  • Adaptive customer support with coordinator and specialists
  • Add multi-agent orchestration to a Vercel AI SDK app
  • Run a local, private multi-agent team with Ollama
  • Mix any model in one agent team

Technical Details

  • MIT licensed, open-source.
  • Public API available.
  • Self-hosted.
  • Medium learning curve.
  • Monetization includes free and freemium.
  • Three runtime dependencies.
  • Supports cloud, local, or air-gapped models on your credentials.

Considerations

  • Bash stays unsandboxed once granted, and every tool result is sent to your model provider—so grant read/exec access on purpose.
  • Pricing model is unknown.
Use cases
  • ' }, }) Fan-out without dependencies Section titled “Fan-out without dependencies” For MapReduce-style parallelism, use AgentPool
  • // Blog Which workflows are worth a team of agents
  • ← All use cases// use case Add multi-agent orchestration to a Vercel AI SDK app Keep the AI SDK for streaming and model calls
  • ← All use cases// use case Mix any model in one agent team Use a strong model where it earns its cost and a cheap one everywhere else — in the same team, in one run
  • ← All use cases// use case Run a local, private multi-agent team Keep the data on your machine: open-multi-agent runs against a local Ollama endpoint just like a cloud provider
  • ← All use cases// use case Turn a goal into a task DAG — at runtime In most agent frameworks you draw the task graph by hand
  • 0 latest release MIT license temodar-agent by xeloxa WordPress security analysis platform
  • 02 the approach How open-multi-agent does it

Features & use cases

' }, }) Fan-out without dependencies Section titled “Fan-out without dependencies” For MapReduce-style parallelism, use AgentPool// Blog Which workflows are worth a team of agents← All use cases// use case Add multi-agent orchestration to a Vercel AI SDK app Keep the AI SDK for streaming and model calls← All use cases// use case Mix any model in one agent team Use a strong model where it earns its cost and a cheap one everywhere else — in the same team, in one run← All use cases// use case Run a local, private multi-agent team Keep the data on your machine: open-multi-agent runs against a local Ollama endpoint just like a cloud provider← All use cases// use case Turn a goal into a task DAG — at runtime In most agent frameworks you draw the task graph by hand0 latest release MIT license temodar-agent by xeloxa WordPress security analysis platform02 the approach How open-multi-agent does it13: Route, Govern, Schedule, and Prove the Run Jul 24, 2026 · 2 min readReleaseOpen Multi-Agent v114: Repair the Plan, Keep the Record Aug 2, 2026 · 4 min readReleaseOpen Multi-Agent v1A coordinator agent decomposes it into a task DAG at runtime, runs the independent nodes in parallel, and synthesizes a typed resultA coordinator plus scoped reviewer agents, with custom tools and token-aware diff compression

Quick facts

Open-source license: MIT

At a glance

Monetization
  • Free
  • Freemium
Maturity signals
  • Open source
  • Public API
  • Model family
  • Self-hostable
Learning curve
  • Medium

Resources

Sources

Every profile keeps its sources and latest verification date.

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