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Data sourced from GitHub API

  1. Home
  2. Repositories
  3. langchain-ai
  4. langgraph
PythonVisible projectFresh activityNo linked package signalPartial snapshot

langchain-ai/langgraph

Build resilient agents.
Compare closest alternativesOpen GitHub

First read

Visible and active, but adoption proof is still thinner

langchain-ai/langgraph has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.

Visible

34.7K public stars in the current GitStar snapshot.

Recognizable in the ecosystem

Active

Last commit Jun 14, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 34.7K stars
  • 5.8K forks
  • Last commit Jun 14, 2026
  • Package usage not mapped yet

Compare lens

langchain-ai/langchain and Significant-Gravitas/AutoGPT are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Jun 14, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for langchain-ai/langgraph, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

agentsaiai-agentschatgptdeepagentsenterpriseframeworkgeminigenerative-ailangchainlanggraphllmmultiagentopen-sourceopenaipydanticpythonrag
🐙Polyglot
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines fresh update and stable visibility.

Fresh updateStable visibility
📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 34.7K
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars34.7K
🧭 Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Python repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

langchain-ai/langchain

Shares the frameworks category footprint with langchain-ai/langgraph, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

Significant-Gravitas/AutoGPT

Overlaps on topics such as agents and ai, which makes it a stronger alternative than a random popularity neighbor.

CompareOpen detail
Related alternative

langgenius/dify

Shares the frameworks category footprint with langchain-ai/langgraph, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

f/prompts.chat

Overlaps on topics such as ai and chatgpt, which makes it a stronger alternative than a random popularity neighbor.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked langchain + AutoGPT as the closest next comparison from the related repository set.

Open compare presetCompare with langchainCompare with AutoGPT
Repo utility

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GitHub Repositorylangchain-ai/langgraphExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with langchainCompare with AutoGPT
Python
131.4K stars
langchain-ai/langchain

The agent engineering platform

Python
182.9K stars
Significant-Gravitas/AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

TypeScript
134.8K stars
langgenius/dify

Production-ready platform for agentic workflow development.

HTML
154.5K stars
f/prompts.chat

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Python
77.4K stars
infiniflow/ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Python
129K stars
open-webui/open-webui

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesView the organizationRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of langchain-ai/langgraph based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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