LangGraph
LangChain's graph-based framework for building stateful multi-agent applications.
LangGraph — LangChain's graph-based framework for building stateful multi-agent applications. Uses a graph-based architecture with nodes and edges to define stateful agent workflows.
About LangGraph
LangGraph is a framework from LangChain for building stateful, multi-agent applications using a graph of nodes and edges.
Its edge is the graph model itself: you define agent workflows as nodes and edges, and it handles state persistence and checkpointing so long-running executions can pause and resume. It is open source and available in both Python and JavaScript/TypeScript, and it plugs into the wider LangChain ecosystem of models, tools, and retrievers.
It fits developers already thinking in terms of explicit agent workflows and comfortable with graph-based programming. It is a poor fit for beginners, since the graph concepts add a learning curve; note too that advanced deployment via LangGraph Platform needs a paid subscription, and debugging complex multi-agent graphs is hard without separate observability tooling.
Among agent frameworks it is the graph-structured, LangChain-native option, trading a steeper concept model for explicit control over state and flow.
Sources: this listing
LangGraph pros and cons
Pros
- Uses a graph-based architecture with nodes and edges to define stateful agent workflows.
- Provides built-in state persistence and checkpointing for long-running agent executions.
- Open source framework available in both Python and JavaScript/TypeScript.
- Integrates with the broader LangChain ecosystem including models, tools, and retrievers.
Cons
- Requires understanding of graph-based programming concepts, which adds complexity for beginners.
- Advanced deployment features such as LangGraph Platform require a paid subscription.
- Debugging complex multi-agent graphs can be challenging without dedicated observability tooling.
Tagged
- Self-hostable
- Supports Claude
- Supports GPT
- Supports Gemini
- CLI
- Agentic Mode
- Freemium
- Open Source
LangGraph alternatives
More from AI Agents (non-coding).
- 01Free →BabyAGI
Minimal task-driven autonomous agent in ~100 lines of Python — a foundational reference implementation.
- 02Free →AutoGPT
Original autonomous-agent project that popularised the loop of plan, act, observe, reflect.
- 03Freemium →AgentGPT
Web-based autonomous agent — give it a goal, watch it self-plan and execute with web browsing and code.
- 04Freemium →Relevance AI
Platform to build, deploy, and manage AI agents and AI teams without writing code.
- 05Freemium →Lindy
No-code AI employees that handle email, scheduling, lead routing, and customer support workflows.
- 06Paid →Claude Computer Use
Anthropic's API capability that lets Claude take screenshots, move the cursor, and use a real computer.
LangGraph pricing
Read off the vendor’s own pricing page on 2026-08-21.
| Plan | Price | Best for |
|---|---|---|
| Developer | $0 / seat per month, then pay-as-you-go | Solo users getting started |
| Plus | $39 / seat per month, then pay-as-you-go | Teams building and deploying agents |
| Enterprise | Custom pricing, then pay-as-you-go | Teams with advanced hosting, security, and support needs |
Full LangGraph pricing breakdown — limits, hidden costs, change log →
Related reading
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</a>Frequently asked questions
- What is LangGraph?
- LangGraph — LangChain's graph-based framework for building stateful multi-agent applications.
- How much does LangGraph cost?
- LangGraph pricing, read from the vendor's page on 2026-08-21: Developer — $0 / seat per month, then pay-as-you-go; Plus — $39 / seat per month, then pay-as-you-go; Enterprise — Custom pricing, then pay-as-you-go.
- Is LangGraph free?
- Yes. LangGraph has a free plan (Developer) — Maximum of 1 seat; up to 5k base traces / mo; Community Forum support; no Deployment or Engine. Verified against the vendor's pricing page on 2026-08-21.
- What platforms does LangGraph support?
- LangGraph runs on mac, win, linux, cli.
- What are the alternatives to LangGraph?
- Similar tools in AI Agents (non-coding) on vibedonalds: BabyAGI, AutoGPT, AgentGPT, Relevance AI.
- What are the downsides of LangGraph?
- Requires understanding of graph-based programming concepts, which adds complexity for beginners. Advanced deployment features such as LangGraph Platform require a paid subscription. Debugging complex multi-agent graphs can be challenging without dedicated observability tooling.