// 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.
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.
Read →open-multi-agent vs LangGraph
Pick LangGraph if You want a fixed graph you control node-by-node, with state history and time-travel tools built around that graph.
Pick open-multi-agent if You want a TypeScript runtime that can generate a plan from a goal, then let you inspect, approve, freeze, replay, checkpoint, and trace it.
open-multi-agent vs Vercel AI SDK
Pick Vercel AI SDK if You 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 if You need orchestration above model calls, including dynamic or explicit task DAGs, dependency scheduling, approvals, recovery, budgets, and multi-agent traces.
open-multi-agent vs LangChain
Pick LangChain if You want LangChain’s chains, integration catalog, and LangSmith tracing in Python or LangChain.js.
Pick open-multi-agent if You want a focused TypeScript orchestration runtime with dynamic and explicit DAGs, mixed-model teams, approvals, recovery, budgets, and local inspection.
open-multi-agent vs LlamaIndex
Pick LlamaIndex if Your core problem is RAG over your own data; indexing, retrieval, query engines; and you want agents that build on that, in Python.
Pick open-multi-agent if Your core problem is coordinating several agents, dependencies, approvals, and recovery steps in TypeScript. You can connect the retrieval layer you already use.
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 Mastra → open-multi-agent vs VoltAgent → open-multi-agent vs Inngest AgentKit → open-multi-agent vs Pydantic AI → open-multi-agent vs Google ADK → open-multi-agent vs Semantic Kernel →
// 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.