// compare

How open-multi-agent compares.

Compare the actual runtime surface, not a one-line category label. Each page covers how the systems orchestrate work, what controls OMA provides, and where each option fits.

Enterprise support
start with the baseline
Know what OMA ships before comparing it.

OMA routes execution topology, dispatches ready tasks event by event, gates consequential work, and produces inspectable evidence in your own backend.

Dynamic, explicit, and routed orchestrationGovernance and approvals at distinct boundariesEvent-driven scheduling and task evidence
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open-multi-agent vs LangGraph
Pick LangGraph ifYou want a fixed graph you control node-by-node, with state history and time-travel tools built around that graph.
Pick open-multi-agent ifYou want a TypeScript runtime that can generate a plan from a goal, then let you inspect, approve, freeze, replay, checkpoint, and trace it.
Full comparison →
open-multi-agent vs Mastra
Pick Mastra ifYou want an all-in-one framework and will author the workflow graph yourself and carry a larger dependency surface to get memory, RAG, evals, and a studio bundled in.
Pick open-multi-agent ifYou want a small core (three dependencies) that runs in your own environment — offline or air-gapped, on your own credentials — with goal-driven decomposition instead of hand-built workflow graphs and a hard spend cap.
Full comparison →
open-multi-agent vs Vercel AI SDK
Pick Vercel AI SDK ifYou want a lightweight, provider-neutral toolkit for a single agent; model calls, tool use, streaming; and you’ll handle any orchestration yourself.
Pick open-multi-agent ifYou need orchestration above model calls, including dynamic or explicit task DAGs, dependency scheduling, approvals, recovery, budgets, and multi-agent traces.
Full comparison →
open-multi-agent vs LangChain
Pick LangChain ifYou want LangChain’s chains, integration catalog, and LangSmith tracing in Python or LangChain.js.
Pick open-multi-agent ifYou want a focused TypeScript orchestration runtime with dynamic and explicit DAGs, mixed-model teams, approvals, recovery, budgets, and local inspection.
Full comparison →

More comparisons

The same full comparison for frameworks and adjacent tools, including single-agent toolkits, RAG stacks, and cloud-vendor SDKs.

open-multi-agent vs CrewAI→open-multi-agent vs AutoGen→open-multi-agent vs OpenAI Agents SDK→open-multi-agent vs Claude Managed Agents→open-multi-agent vs VoltAgent→open-multi-agent vs Inngest AgentKit→open-multi-agent vs LlamaIndex→open-multi-agent vs Pydantic AI→open-multi-agent vs Google ADK→open-multi-agent vs Semantic Kernel→
in context
open-multi-agent and Claude dynamic workflows

Same bet — the model plans the work — in a different form factor. How OMA relates to Anthropic’s dynamic workflows in Claude Code.

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// Enterprise

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.

Enterprise support