Langgraphjs

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LangGraph.js is an AI frameworks & infra tool that helps developers build resilient language agents as graphs. It provides a low-level orchestration framework for creating controllable agents with customizable architectures and long-term memory.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is langgraphjs?

LangGraph.js is a powerful, low-level orchestration framework designed for building resilient and controllable language agents using graph structures. It allows developers to create custom agents with fully descriptive primitives, enabling the design of scalable multi-agent systems where each agent serves a specific role. Key features include robust reliability and controllability through moderation checks and human-in-the-loop approvals, persistent context for long-running workflows, and first-class streaming support for real-time visibility into agent reasoning and actions. LangGraph.js integrates seamlessly with other LangChain products like LangSmith for observability and LangGraph Platform for scalable deployment, making it ideal for complex LLM application development.

Best used for

Ideal for developers who need to build powerful and adaptable AI agents, design scalable multi-agent systems, and ensure reliability with human-in-the-loop approvals. Especially valuable for creating complex LLM applications requiring persistent context and real-time streaming of agent actions.

Common actions

build AI agents

orchestrate LLM workflows

manage agent state

stream agent output

github copilot"AI Agents"face swappingdeepfakeworkflowsopen-sourceautomated workflowlow-code/no-codecollaboration

Capabilities

Key features

Build resilient language agents
Low-level orchestration framework
Customizable agent architectures
Long-term memory management
Human-in-the-loop approvals
First-class streaming support
Integrates with LangChain products

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the difference between LangGraph.js and LangChain?

While LangChain provides integrations and composable components for LLM application development, LangGraph.js specifically focuses on agent orchestration. It offers a low-level framework for building controllable agents with customizable architectures, long-term memory, and human-in-the-loop capabilities, complementing LangChain's broader toolkit.

Can LangGraph.js be used for multi-agent systems?

Yes, LangGraph.js is designed to support scalable multi-agent systems. Its low-level and extensible nature allows developers to build custom agents, each serving a specific role, and orchestrate their interactions effectively. This enables the creation of complex workflows with multiple specialized AI agents.

Does LangGraph.js support real-time streaming of agent actions?

Absolutely. LangGraph.js provides first-class streaming support, including token-by-token streaming and streaming of intermediate steps. This feature gives users clear visibility into the agent's reasoning process and actions as they unfold in real time, enhancing transparency and debugging capabilities.

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