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Data sourced from GitHub API

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  3. langchain-ai
  4. langchain
PythonVisible anchorFresh activityAdopted in packagesHigh-confidence read

langchain-ai/langchain

Rank #58·Top 100·All-time stars·◐Cached ranking snapshot·Updated Aug 15, 2026

The agent engineering platform.

Compare closest alternativesOpen GitHub

First read

Strong enough to justify a deeper source review

langchain-ai/langchain looks visible enough to matter, active enough to trust for a next pass, and adopted enough to merit checking maintainers, releases, and real integration cost in the source repository.

Visible

144.2K public stars in the current GitStar snapshot.

Long-term anchor

Active

Last commit Aug 14, 2026.

Fresh activity

Adopted

pypi gives the strongest production-style signal.

17.4M/week

Confidence

Both package adoption and momentum are available.

High-confidence read

Snapshot facts

  • 144.2K stars
  • 24K forks
  • Last commit Aug 14, 2026
  • pypi 17.4M/week

Compare lens

microsoft/autogen and run-llama/llama_index 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
+31
Weekly momentum
+537
Monthly momentum
Recent momentum is not captured
Last commit
Aug 14, 2026

Package reality

GitStar found pypi:langchain. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.

Hype vs Reality
Balanced
Package mapping
pypi · langchain
Cross-links
Standalone repo read

Validation note

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

PyPI: 17.4M/week
Package signal

Install & Package Signals

📐 How this feeds Hype vs Reality

GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.

Balanced
Recent attention and package usage are moving in the same direction.
PyPI package

langchain

17.4M downloads/week
pip install langchain
Open pypi
agentsaiai-agentsanthropicchatgptdeepagentsenterpriseframeworkgeminigenerative-ailangchainlanggraphllmmultiagentopen-sourceopenaipydanticpythonragtypescript
🐙Polyglot
🛡️ Editorial Context
Weekly Pick

Collection note: Useful reference point when GitStar users compare fast-moving AI tooling.

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 31 daily momentum and package adoption.

31 daily momentumPackage adoptionFresh updateHigh lifetime stars
📈 Momentum & Adoption Signals
Approximate star trajectory

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

Now: 144.2K
30d ago7d ago1d agoNow
Daily momentum
+31
Weekly momentum
+537
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars144.2K
Weekly package downloads17.4M
🧭 Hype vs Reality
Balanced

Recent attention and package usage are moving in the same direction.

This usually means the project has both mindshare and a measurable production footprint, which makes it a stronger validation candidate.

Status
Balanced
Package footprint
PyPI · 17.4M/week
Method note
Balanced means GitStar sees both meaningful package adoption and enough current star velocity or scale to avoid reading the repo as purely niche. Compare it against other Python repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

microsoft/autogen

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

CompareOpen detail
Related alternative

run-llama/llama_index

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

CompareOpen detail
Related alternative

langchain-ai/langgraph

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

CompareOpen detail
Related alternative

QuivrHQ/quivr

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

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked autogen + llama_index as the closest next comparison from the related repository set.

Open compare presetCompare with autogenCompare with llama_index
Repo utility

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GitHub Repositorylangchain-ai/langchainPyPI PackagelangchainExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with autogenCompare with llama_index
Python
60.4K stars
microsoft/autogen

A programming framework for agentic AI

Python
51.6K stars
run-llama/llama_index

LlamaIndex is the leading document agent and OCR platform

Python
39.7K stars
langchain-ai/langgraph

Build resilient agents.

Python
39.4K stars
QuivrHQ/quivr

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

Python
28.6K stars
openai/openai-agents-python

A lightweight, powerful framework for multi-agent workflows

Python
26.2K stars
deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

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/langchain 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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