tools
LangGraph
LangGraph is an open-source framework for building stateful, controllable agents and multi-step workflows.
LangGraph lets developers define agent workflows as graphs with state, memory, persistence, streaming, and human approval steps. It supports deterministic and agentic components, multi-agent systems, and custom execution flows.
It is used by teams building long-running agents, business-process automation, conversational applications, and other LLM systems requiring control. The core library is free and MIT-licensed; hosted deployment, observability, and execution services are billed through LangSmith.
Features
- Build stateful, multi-step agent workflows as graphs
- Add human-in-the-loop approval and moderation steps
- Persist conversation history, checkpoints, and long-term memory
- Stream tokens, agent actions, and workflow events
- Compose single-agent, multi-agent, and hierarchical workflows
- Deploy through LangSmith Deployment or self-hosted infrastructure
- MIT-licensed open-source library
Use cases
- Build long-running business-process automation
- Create conversational agents with persistent memory
- Orchestrate workflows combining deterministic and agentic steps
- Add human approval to sensitive agent actions
- Deploy custom multi-agent applications
- Stream agent progress and actions to an application interface
Pros
Cons
Pricing
- Starting price
- $39 / seat per month
- Pricing checked
- 2026-09-19
Developer
$0 / seat per month
- Up to 5k base traces / mo, then pay-as-you-go
- Community support
- 1 seat
Plus
$39 / seat per month
- Up to 10k base traces / mo, then pay-as-you-go
- Access to Deployment, Engine, and more
- Add unlimited seats
Enterprise
Custom pricing
- Self-hosted and hybrid deployment options
- Custom SSO, ABAC, and RBAC
- Support SLA
- Custom seats and workspaces