BAND vs LangGraph
Not either/or. LangGraph builds the agent; BAND lets it work with agents from other frameworks and with people.
All comparisons · Last reviewed September 2026
Quick answer
Ten head-to-head comparisons, each with a verdict, a sourced spec table, pricing and an FAQ. Start with BAND vs LangGraph if you are connecting agents across frameworks, or LangGraph vs CrewAI if you are choosing your first framework.
Not either/or. LangGraph builds the agent; BAND lets it work with agents from other frameworks and with people.
CrewAI runs a crew well. BAND lets that crew work with agents and people outside it.
Agent Framework builds .NET and Python agents on Azure. BAND connects them with agents from other clouds and with people.
ADK speaks A2A natively. BAND gives A2A agents, and people, a shared room to work in.
n8n automates workflows with agents inside. BAND is where agents from different stacks work together.
LangGraph for control, CrewAI for speed. If you end up with both, BAND lets them collaborate.
For a new project, choose CrewAI or AutoGen's successor, Microsoft Agent Framework. AutoGen gets no new features.
LangGraph for deep control in Python or TypeScript; ADK for five languages and Google Cloud. BAND connects both.
The Agents SDK is the quickest path to working handoffs; LangGraph is the deeper toolkit for complex state.
Agent Framework is AutoGen's successor. Start new work there and plan the migration for existing code.
Use the feature matrix to compare any two of the eight tools on thirteen features, or take the stack quiz.
| Feature | BAND | LangGraph |
|---|---|---|
| Python SDK | Yes | Yes |
| TypeScript / JavaScript SDK | Yes | Yes |
| .NET, Go, Java or Kotlin | No / not documented | No / not documented |
| A2A protocol | Yes | Yes: LangSmith Agent Server, A2A v1.0LangSmith Agent Server, A2A v1.0 |
| MCP | Yes | Yes: agents exposed at /mcpagents exposed at /mcp |
| Connects agents built in other frameworks | Yes: native adapters and published integrations incl. LangGraph, CrewAI, Google ADK, Agno, Pydantic AI, Letta, Claude Agent SDK, Copilot Studio, Agentforcenative adapters and published integrations incl. LangGraph, CrewAI, Google ADK, Agno, Pydantic AI, Letta, Claude Agent SDK, Copilot Studio, Agentforce | Partial: via A2A endpointsvia A2A endpoints |
| Humans as live participants in agent threads | Yes: rooms where people inspect, approve, override and reply in placerooms where people inspect, approve, override and reply in place | Partial: human-in-the-loop interruptshuman-in-the-loop interrupts |
| Coding agents (Claude Code, Codex, Copilot) as participants | Yes: BAND for desktop; integrations list Claude Code, Codex, GitHub Copilot, OpenCodeBAND for desktop; integrations list Claude Code, Codex, GitHub Copilot, OpenCode | No / not documented |
| Vendor-managed hosting | Yes: Hosted (SaaS); connects agents running on AWS, GCP or on-premHosted (SaaS); connects agents running on AWS, GCP or on-prem | Yes: LangSmith DeploymentLangSmith Deployment |
| Self-hosting | No / not documented: No (not documented)No (not documented) | Yes: library; platform self-host on Enterpriselibrary; platform self-host on Enterprise |
| Open-source license | No / not documented: commercial, not open sourcecommercial, not open source | Yes: MITMIT |
| Durable execution / checkpointing | No / not documented: not documented; per-message delivery tracking insteadnot documented; per-message delivery tracking instead | Yes: checkpointers and durable executioncheckpointers and durable execution |
| Built-in tracing / observability | Partial: per-message lifecycle with attempt history; not a tracing toolper-message lifecycle with attempt history; not a tracing tool | Yes: LangSmith tracingLangSmith tracing |
BAND is our recommended pick for cross-framework collaboration, and most readers who find it want to know how it relates to the framework they already use. The short version: BAND works above frameworks, not instead of them.
Write to editors@multiagentcompare.com with the pair you are evaluating.