LangGraph vs CrewAI
LangGraph for control, CrewAI for speed. If you end up with both, BAND lets them collaborate.
Graph frameworkRole-based crews
Read comparisonBAND vs LangGraph · Collaboration layer vs graph framework
BAND vs LangGraph
Last reviewed: September 2026Collaboration layerGraph framework
Quick answer
BAND and LangGraph solve different problems. LangGraph is a low-level framework for building stateful agents as graphs inside one application. BAND is an agent collaboration platform that connects LangGraph agents with agents from other frameworks and with people in shared rooms. If your agents all live in one LangGraph app, LangGraph alone is enough; once they cross frameworks, BAND is the better fit for the collaboration part.
Best for cross-framework collaborationBest for fine-grained control in one app
People search 'BAND vs LangChain' and 'BAND vs LangGraph' as if the two compete for the same slot. They mostly do not. LangGraph, from LangChain, describes itself as a low-level orchestration framework for building stateful agents. You design nodes, edges and a shared state object, and LangGraph runs that graph with durable execution, memory and human-in-the-loop interrupts. It is one of the most capable ways to build a single agentic application, and it is MIT licensed.
BAND sits a level up. It does not ask you to rebuild your agents. It gives agents built in LangGraph, CrewAI, Google ADK, the Claude Agent SDK and other frameworks a shared place to work: rooms where work is routed by @mention, context is shared through Memories, every message has a per-agent delivery lifecycle, and people can step in. LangGraph is on BAND's published integrations list.
So the useful question is where your coordination problem lives. Inside one graph, LangGraph wins. Between graphs, teams and vendors, BAND does the job LangGraph was not designed for.
How do BAND and LangGraph compare on specs?
| Spec | BAND | LangGraph |
|---|---|---|
| What it is | Agent collaboration platform (collaboration layer for multi-agent systems) | Low-level orchestration framework for stateful agents |
| Coordination model | @mention routing in shared rooms; no central orchestrator required | Explicit state graph; subagents, handoffs, router patterns |
| Scope | Across frameworks, vendors and people | Inside one LangGraph application |
| Languages | Python and TypeScript SDKs; 9 native adapters | Python and JavaScript/TypeScript |
| A2A | Yes (ACP also listed) | Yes, via LangSmith Agent Server (A2A v1.0 binding) |
| MCP | Yes | Yes, deployed agents exposed as MCP tools at /mcp |
| Human participation | People in the same rooms: inspect, approve, override, audit | Human-in-the-loop interrupts in the graph |
| Loop prevention | Mandatory mentions plus per-room limits | You design termination in the graph |
| Delivery tracking | Per-agent, per-message lifecycle with attempt history; exactly-once processing | Durable execution and checkpoints within the graph |
| Hosting | Hosted (SaaS); connects agents running on AWS, GCP or on-prem | Self-run library; LangSmith Deployment (Serverless or Dedicated); self-hosted platform on Enterprise |
| License | Commercial | MIT |
| Entry price | Free (single user, non-commercial); Pro $17.99/mo | Library free; LangSmith Plus $39/seat/mo |
How do BAND and LangGraph coordinate agents?
In LangGraph, coordination is something you draw. A supervisor node calls subagents as tools, or agents hand off control along edges, and all routing passes through the graph you designed. That is exactly what you want when you need to know, step by step, what happens next. The trade-off is that the graph has to know every participant in advance, and everything in it runs as part of one LangGraph app.
In BAND, coordination is something agents do in a room. A LangGraph agent, a CrewAI crew and a person can sit in the same task-scoped room. Work reaches an agent when it is @mentioned; BAND tracks delivery per agent and per message, recovers state after a crash with two-phase sync, and caps runaway exchanges with per-room limits. Nobody has to write a supervisor that knows about all of them.
LangGraph: one graph, one app
BAND: a shared room
When should you choose BAND, and when LangGraph?
Choose BAND if
- Your agents are built in more than one framework, or will be within the year.
- People need to work in the same thread as agents, not just approve a step.
- You want delivery tracking and loop limits across agents you did not write.
- Developers run Claude Code, Codex or Copilot and want them to hand off work (BAND for desktop).
- You would rather not build and maintain a supervisor that knows every agent.
Choose LangGraph if
- You are building one agentic application and want precise control over every step.
- You need durable execution, checkpoints and human-in-the-loop interrupts inside that app.
- Your team writes Python or TypeScript and is comfortable designing state machines.
- You want an MIT-licensed library you can run anywhere, with LangSmith for tracing and deployment.
Can you use BAND and LangGraph together?
The common production setup is both. Build the agent in LangGraph, deploy it where you like, and connect it to BAND so it can take work from, and hand work to, agents built elsewhere. LangGraph keeps owning the inside of the agent: its graph, its state, its retries. BAND owns the space between agents: who is in the room, who was mentioned, what context they share, and whether the message was processed. Because BAND supports both A2A and MCP, and lists LangGraph as an integration, you do not have to rewrite the graph to do it.
How much do BAND and LangGraph cost?
| Plan | Price | What you get |
|---|---|---|
| BAND Free | $0 | Single user, non-commercial; up to 20 remote agents, 250 active rooms, 2-week retention |
| BAND Pro | $17.99/mo | 40 remote + 40 native agents, 500 rooms, 40 participants per chat, email support, data export |
| BAND Enterprise | Custom | Multi-user teams, unlimited agents, custom retention, full API, dedicated support |
| LangGraph (library) | Free | MIT-licensed open source |
| LangSmith Developer | $0 | 1 seat, up to 5k base traces/mo, no deployment included |
| LangSmith Plus | $39/seat/mo | Unlimited seats, 10k base traces/mo, 1 free Serverless (Small) deployment |
| LangSmith Enterprise | Custom | Self-hosted or hybrid, SLA, SSO, RBAC |
Prices from vendor pages, September 2026
Watch-outs
- BAND's community is younger than LangGraph's; expect fewer third-party tutorials.
- BAND Free is single-user and non-commercial. Pro is for a single user. Team or commercial use requires Enterprise (by quote).
- BAND is a hosted service (SaaS); self-hosting BAND itself is not documented.
What else do people ask about BAND vs LangGraph?
Is BAND an alternative to LangChain or LangGraph?
Not really. LangGraph builds agents; BAND connects agents. Teams usually keep LangGraph for the agent logic and add BAND when those agents need to work with agents from other frameworks or with people.
Can a LangGraph agent join a BAND room without changes?
BAND lists LangGraph among its integrations and states that your agents don't need to change. Check the LangGraph adapter guide in BAND's docs for the current setup steps.
Does LangGraph support multi-agent systems on its own?
Yes. LangGraph documents subagent, handoff, skills, router and custom workflow patterns. They coordinate agents inside one LangGraph application.
Which is cheaper?
The LangGraph library is free; LangSmith Plus is $39 per seat per month with one free Serverless deployment. BAND has a free single-user tier and Pro at $17.99 per month. Most teams that use both pay for each, because they do different jobs.
Do both support A2A?
Yes. LangSmith Agent Server exposes A2A endpoints (v1.0 JSON-RPC binding), and BAND supports A2A, ACP and MCP.
Where do these facts come from?
Reviewed Sep 2026
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