1. [Home](https://www.g2.com/) 2. ... 3. [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) 4. [LangChain Discussions](https://www.g2.com/products/langchain/discuss) [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_0956b45963f61f58f6b413500ed5d7aa/langchain.jpg "Product Avatar Image") ](/products/langchain/reviews) [ LangChain ](/products/langchain/reviews) (154)4.5/5 LangChain is a model-neutral, open source framework for building agents faster. It provides the core agent loop, with model and tool abstractions, 1000+ integrations, and customizable middleware, so that you can create agents that adapt with the ecosystem. LangChain provides a minimal, highly-configurable harness. Teams can start with a standard agent architecture, then customize how the agent reasons, manages context, and takes action. Key Features and Functionality: • Pre-built agent architecture: LangChain helps developers start building agents quickly with proven patterns for common use cases. • Open and neutral: Swap models, tools, and databases without rewriting your application. With 1000+ integrations, future-proof your stack as AI advances. • Customizable: Developers can extend agent behavior through middleware. Easily add human-in-the-loop approval, summarize long conversations, remove sensitive data, or customize context and tool use with composable hooks. • Durable runtime: LangChain runs on LangGraph’s durable runtime, giving agents built-in persistence, checkpointing, rewind, and human-in-the-loop support. Primary Value and Problem Solving: LangChain gives developers a pre-built agent architecture that they can use immediately. The framework is open and neutral by design with 1,000+ integrations across the LLM ecosystem, so developers can connect the models, tools, and databases their agents need to use. LangChain also provides control over agent behavior. Middleware lets teams customize how an agent runs without rewriting the core architecture. The framework is useful for teams that want to ship agents quickly, but still need room to adapt the system to their product, users, and infrastructure. Show More * * * ### 25 Discussions ### 25 Participants ### 70.0 Nps Score Already have LangChain? ### All LangChain Discussions Search Most CommentedMost HelpfulCommon QuestionsNewest All DiscussionsDiscussions with CommentsCommon QuestionsDiscussions without Comments FilterFilter Filter byExpand/Collapse Sort by Most Commented Most Helpful Common Questions Newest Filter by All Discussions Discussions with Comments Common Questions Discussions without Comments AK Loading... [Ali Arslan K.](https://www.g2.com/users/51a03ed5-5df7-410e-ba88-6015c3bdb63e "Ali Arslan K.") • 4 months ago AI Enginner AI Enginner More Options - [ # How are you handling LangChain and LangGraph breaking changes and debugging in multi-step workflows? ](/discussions/how-are-you-handling-langchain-and-langgraph-breaking-changes-and-debugging-in-multi-step-workflows) LangChain and LangGraph made it much easier to orchestrate a multi-step pipeline (transcription, summarization, caption generation, image generation) without custom state management, and the graph structure helped control step order with a human-approval checkpoint. But breaking changes between... [Read more](/discussions/how-are-you-handling-langchain-and-langgraph-breaking-changes-and-debugging-in-multi-step-workflows) [ Generative AI Infrastructure Software ](https://www.g2.com/tags/generative-ai-infrastructure-software)[ Large Language Model Operationalization (LLMOps) Software ](https://www.g2.com/tags/large-language-model-operationalization-llmops-software)[ AI Agent Builders Software ](https://www.g2.com/tags/ai-agent-builders-software)[ AI Orchestration Software ](https://www.g2.com/tags/ai-orchestration-software) * * * (true)\<0\>0\>Upvotes (false) * * * 0 Comments [![linkedin](/assets/social-logos/linkedin-afe65e46604a5bd5105ab9c856116204040b6b3f2b2d42562fc8071ca0c48ca0.svg "linkedin")](https://www.linkedin.com/shareArticle?mini=true&summary=Ask+LangChain+questions+and+get+answers+from+expert+users+in+our+LangChain+Discussions+section.&title=LangChain+Discussions+%7C+G2&url=https%3A%2F%2Fwww.g2.com%2Fproducts%2Flangchain%2Fdiscuss) [![twitter](/assets/social-logos/twitter-61aaec80434c71387b8f7326e480592eae71c0a65afd051d66fce9b75a9bf417.svg "twitter")](https://twitter.com/intent/tweet?text=LangChain+Discussions+%7C+G2&url=https%3A%2F%2Fwww.g2.com%2Fproducts%2Flangchain%2Fdiscuss&via=G2dotcom) [![facebook](/assets/social-logos/facebook-350d0b410d6b10debcf893050e803a8633d53561aa42807b087b8daf9be3668f.svg "facebook")](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.g2.com%2Fproducts%2Flangchain%2Fdiscuss) [![gmail](/assets/social-logos/gmail-6db42f21e7c254fae201b112bef0dd15d25223a5cbb32691ce80eab43761eadf.svg "gmail")](https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=&su=LangChain+Discussions+%7C+G2&body=https%3A%2F%2Fwww.g2.com%2Fproducts%2Flangchain%2Fdiscuss%0aAsk+LangChain+questions+and+get+answers+from+expert+users+in+our+LangChain+Discussions+section.) 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Answer a few questions to help the LangChain community [ Yes ](javascript:void(0))[ Yes ](https://www.g2.com/login?context=product_review&return_to=https%3A%2F%2Fwww.g2.com%2Fproducts%2Flangchain%2Fdiscuss%3Fsmall_ask%3Dlangchain) No ## Top Contributors in LangChain 1 AK Loading... ### [Ali Arslan K.](https://www.g2.com/users/51a03ed5-5df7-410e-ba88-6015c3bdb63e "Ali Arslan K.") AI Enginner 1 pt