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GitHub
github.com โ€บ langchain-ai โ€บ langgraph-builder
GitHub - langchain-ai/langgraph-builder ยท GitHub
February 24, 2026 - LangGraph Builder provides a powerful canvas for designing cognitive architectures of LangGraph applications. After designing an architecture with the canvas, LangGraph Builder enables you to generate boilerplate code for the application in ...
Starred by 233 users
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Languages ย  TypeScript 91.8% | JavaScript 4.2% | CSS 3.2% | Shell 0.8%
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LangChain
langchain.com โ€บ langgraph
LangGraph: Agent Orchestration Framework for Reliable AI Agents
Build controllable agents with LangGraph, our low-level agent orchestration framework
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Langchain
build.langchain.com
LangGraph Builder
LangGraph Builder is not supported on mobile devicesText me the link
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LangChain
langchain.com โ€บ built-with-langgraph
LangGraph AI Agent Framework for Production Applications
To tackle large-scale code migrations, Uber's Developer Platform team used LangGraph to build a network of agents and automate unit test generation.
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Langchain
docs.langchain.com โ€บ oss โ€บ python โ€บ langgraph โ€บ graph-api
Graph API overview - Docs by LangChain
builder.add_node(my_node) # You can then create edges to/from this node by referencing it as `"my_node"` The START Node is a special node that represents the node that sends user input to the graph. The main purpose for referencing this node is to determine which nodes should be called first. from langgraph.graph import START graph.add_edge(START, "node_a")
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Towards AI
pub.towardsai.net โ€บ introducing-langgraph-builder-deep-dive-building-agentic-systems-0c3d929084a9
Introducing LangGraph Builder โ€” Deep Dive building Agentic Systems | by Hadi Rouhani | Towards AI
May 20, 2025 - Introducing LangGraph Builder โ€” Deep Dive building Agentic Systems Free Access to Building agentic system architecture using a canvas Access the full github code here: GitHub - โ€ฆ
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IBM
ibm.com โ€บ think โ€บ topics โ€บ langgraph
What is LangGraph? | IBM
April 1, 2026 - LangGraph, created by LangChain, is an open source AI agent framework designed to build, deploy and manage complex generative AI agent workflows. It provides a set of tools and libraries that enable users to create, run and optimize large language ...
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GitHub
github.com โ€บ langchain-ai โ€บ langgraph
GitHub - langchain-ai/langgraph: Build resilient language agents as graphs. Available in TypeScript! ยท GitHub
3 days ago - Build resilient language agents as graphs. Available in TypeScript! - langchain-ai/langgraph
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Languages ย  Python
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LangChain Academy
academy.langchain.com โ€บ courses โ€บ intro-to-langgraph
Foundation: Introduction to LangGraph - Python
Learn the basics of LangGraph - our framework for building agentic and multi-agent applications. Separate from the LangChain package, LangGraph helps developers add better precision and control into agentic workflows.
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DataCamp
datacamp.com โ€บ tutorial โ€บ langgraph-agents
How to Build LangGraph Agents Hands-On Tutorial | DataCamp
July 15, 2025 - Master LangGraph fundamentals โ€” state, nodes, edges, memory โ€” and build scalable AI agents with ReAct patterns, custom tools, and persistent state management.
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Medium
medium.com โ€บ pythoneers โ€บ building-ai-agent-systems-with-langgraph-9d85537a6326
Building AI agent systems with LangGraph | by Vishnu Sivan | The Pythoneers | Medium
October 26, 2024 - LangGraph enables cyclic LLM call execution with state persistence, essential for agentic behavior. LangGraph Inspired by Pregel and Apache Beam and modeled after the NetworkX library for user-friendly graph-based programming offers a more advanced ...
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GitHub
github.com โ€บ Hadi2525 โ€บ langgraph-builder
GitHub - Hadi2525/langgraph-builder: Using LangGraph Builder and Studio to build amazing Agentic Systems
LangGraph Builder Agent is a modular Python project designed to facilitate the creation, management, and utilization of language graph-based agents.
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Languages ย  Python 100.0% | Python 100.0%
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LangChain
blog.langchain.com โ€บ building-langgraph
Building LangGraph: Designing an Agent Runtime from first principles
September 4, 2025 - Summary: We launched LangGraph as a low level agent framework nearly two years ago, and have already seen companies like LinkedIn, Uber, and Klarna use it to build production ready agents. LangGraph builds upon feedback from the super popular LangChain framework, and rethinks how agent frameworks should work for production.
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Real Python
realpython.com โ€บ langgraph-python
LangGraph: Build Stateful AI Agents in Python โ€“ Real Python
November 15, 2024 - LangGraph is a versatile Python library designed for stateful, cyclic, and multi-actor Large Language Model (LLM) applications. This tutorial will give you an overview of LangGraph fundamentals through hands-on examples, and the tools needed ...
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Reddit
reddit.com โ€บ r/langchain โ€บ creating langgraph from json/yaml instead of code
r/LangChain on Reddit: Creating LangGraph from JSON/YAML instead of code
November 10, 2024 -

I figured it might be useful to build graphs using declarative syntax instead of imperative one for a couple of usecases:

  • Tools trying to build low-code builders/managers for LangGraph.

  • Tools trying to build graphs dynamically based on a usecase

and more...

I went through the documentation and landed here.

and noticed that there is a `to_json()` feature. It only seems fitting that there be an inverse.

So I attempted to make a builder for the same that consumes JSON/YAML files and creates a compiled graph.

https://github.com/esxr/declarative-builder-for-langgraph

Is this a good approach? Are there existing libraries to do the same? (I know that there might be an asymmetry that might require explicit instructions to make it invertible but I'm working on the edge cases)

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Medium
medium.com โ€บ @lorevanoudenhove โ€บ how-to-build-ai-agents-with-langgraph-a-step-by-step-guide-5d84d9c7e832
How to Build AI Agents with LangGraph: A Step-by-Step Guide | by Lore Van Oudenhove | Medium
January 14, 2026 - Each node in LangGraph represents an operational step, such as interacting with the user or executing a tool. We define two key nodes for this AI assistant: Assistant Node: Manages the conversation flow, asking the user for their electricity cost and handling responses. Tool Node: Executes the tool (e.g., compute_savings) to calculate the userโ€™s solar panel savings. builder = StateGraph(State) builder.add_node("assistant", Assistant(part_1_assistant_runnable)) builder.add_node("tools", create_tool_node_with_fallback(part_1_tools))