LangChain OSS

@LangChain_OSS

Ship great agents fast with our open source frameworks – LangChain, LangGraph, and Deep Agents. Maintained by @LangChain.

Joined January 2026

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LangChain OSS
@LangChain_OSS
Aug 20
What's new in LangChain? 🚀 🧯 Standard exceptions: chat models now raise standard exception types across providers, so you can distinguish retryable errors (timeouts, rate limits, etc.) in a consistent way. Fully backward compatible. 🧩 Agent middleware: custom token_counter
github.com
syyy44 - Overview
syyy44 has 7 repositories available. Follow their code on GitHub.
LangChain OSS
@LangChain_OSS
Aug 14
What's new in LangChain? 🚀 🔌 Support for OpenAI's 3.0 SDK (using httpx2) ✨ Support for gemini-3.7-flash Plus a wave of core reliability fixes from external contributors: 🛠️ Tool calling & structured output: clearer errors, respect for pydantic aliases when validating tool
github.com
RinZ27 - Overview
RinZ27 has 196 repositories available. Follow their code on GitHub.
LangChain OSS
@LangChain_OSS
Aug 11
New langchain python release! 🚀 Highlights: • Internal middleware model calls no longer leak into messages / event stream (github.com/devbyteai, reported by github.com/nick-youngblut) • SummarizationMiddleware retries failed summaries (reported by github.com/Harshxth) +
github.com
devbyteai - Overview
AI Engineer & Full-Stack Developer Building autonomous agents, scalable platforms, and intelligent systems. - devbyteai
LangChain OSS
@LangChain_OSS
Aug 7
an RLM harness is a harness that supports "recursive language models" here's how you can add RLMs to deepagents! docs.langchain.com/oss/javascript…
Sydney Runkle
@sydneyrunkle
Aug 7
"RLM harness" is a buzzy term right now, what does it mean? RLM = recursive language model. In practice this means a supervisor model can break down a task into smaller pieces and recursively call itself on those smaller tasks. Here's how you can use RLMs w/ deepagents!
LangChain OSS
@LangChain_OSS
Aug 6
@sydneyrunkle provides a guide on when to reach for each of our open source packages. This blog explains: * What each package offers * When to reach for each (with examples) * Why we have multiple options * TL;DR: start with deepagents!
Sydney Runkle
@sydneyrunkle
Aug 6
Article
Deep Agents vs LangChain vs LangGraph
Deep Agents, LangChain, and LangGraph each offer distinct approaches to building agents. In this post, we cover the key distinctions between our open source frameworks and when you should reach for...