The agent engineering platform.
First read
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.
144.2K public stars in the current GitStar snapshot.
Long-term anchor
Last commit Aug 14, 2026.
Fresh activity
pypi gives the strongest production-style signal.
17.4M/week
Both package adoption and momentum are available.
High-confidence read
Snapshot facts
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
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
GitStar found pypi:langchain. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.
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.
GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.
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.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
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.
Shares the frameworks category footprint with langchain-ai/langchain, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the frameworks category footprint with langchain-ai/langchain, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the frameworks category footprint with langchain-ai/langchain, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the frameworks category footprint with langchain-ai/langchain, so the comparison is closer to a same-problem decision than a same-language coincidence.
GitStar picked autogen + llama_index as the closest next comparison from the related repository set.
[](https://gitstar.space/repo/langchain-ai/langchain)<a href="https://gitstar.space/repo/langchain-ai/langchain"><img src="https://gitstar.space/api/badge/langchain-ai/langchain" alt="GitStar"></a>A programming framework for agentic AI
LlamaIndex is the leading document agent and OCR platform
Build resilient agents.
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.
A lightweight, powerful framework for multi-agent workflows
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.
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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