# vonzosten/awesome-LangGraph

An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.

Repository: https://github.com/vonzosten/awesome-LangGraph
Canonical: https://ross.abutalabs.com/products/awesome-langgraph
Language: JavaScript
License: CC0-1.0
License Family: permissive
Topics: ai, awesome, awesome-list, langchain, langgraph, llm, llm-agents
Last push: 2026-07-10T12:16:13+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 47
- inputs: {"age_days": 669, "days_push": 54, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1981, forks 260 (observed 2026-08-28T04:06:01.777201+00:00)

## What it is
A curated awesome-list indexing the LangChain and LangGraph ecosystem, covering frameworks, tools, templates, community projects, and learning resources for building LLM and multi-agent applications. It organizes resources across the agent development lifecycle: building, observing, evaluating, and deploying stateful AI agents.

## Use cases
- find LangGraph projects and templates for building AI agents
- discover RAG and document processing tools in the LangChain ecosystem
- learn how to build multi-agent LLM applications
- find starter templates for LangGraph agent workflows
- locate tools for observing and evaluating LLM agents
- explore community agent projects by use case like research or finance

## When to choose
- you are building agents with LangChain or LangGraph and want curated resources
- you need a starting point to explore the LangGraph ecosystem
- you want templates and learning materials for LLM agent development

## When to avoid
- you use agent frameworks other than LangChain/LangGraph
- you need runnable software rather than an index of links
- you want framework-agnostic LLM tooling

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, llm-inference, developer-tools, chatbot
- domain: artificial-intelligence, large-language-models, awesome-lists, developer-tools
- platform: python, cross-platform
- tags: awesome-list, langchain, langgraph, llm-agents, multi-agent, curated-resources, ecosystem-index, ai-agents, retrieval-augmented-generation, javascript

## Member repositories
- vonzosten/awesome-LangGraph (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:01.777201+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:03:59.403743+00:00, confidence not recorded.
  - readme: https://github.com/vonzosten/awesome-LangGraph (fetched 2026-08-28T04:06:01.777201+00:00, sha 28f6580479ac)
- Data as of 2026-08-30T08:39:29.467469+00:00.