© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Framework for building LLM-powered applications. Chains, agents, RAG.
Founded by: Harrison Chase
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, LangChain ranks #11 in Foundation Models for HN discussion share (out of 33 tracked with 2.8% of HN discussion), with 45% positive developer sentiment (165 HN comments analyzed), with 10 commits/week (declining), with 7,268,128 npm downloads in 30 days, with 225,090,291 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/langchain?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Framework for building LLM-powered applications. Chains, agents, RAG.
Estimated Company Size
51 - 100 employees
Website
langchain.comFounded
2022
Description
LangChain is the most popular framework for building with LLMs. Enables chains, agents, and retrieval-augmented generation. 100K+ GitHub stars. Raised $25M Series A from Sequoia.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Weekly commit activity indicates ongoing development momentum and team productivity.
Package download volume indicates real-world adoption and integration into production projects.
An open-source framework for developing applications powered by large language models, enabling chaining of components and integration with external data sources.
A developer platform for debugging, testing, evaluating, and monitoring LLM applications, enhancing reliability and performance.
A library designed to easily deploy LangChain runnables and chains as a REST API, simplifying the process of making LLM applications accessible.
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Package downloads and ecosystem metrics — 30-day window
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