--- title: "LibreChat vs chat-langchain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/danny-avila-librechat-vs-langchain-ai-chat-langchain" tools: ["danny-avila-librechat", "langchain-ai-chat-langchain"] --- # LibreChat vs chat-langchain *GraphCanon updated Aug 25, 2026* ## Verdict Pick LibreChat if libreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication; pick chat-langchain if chat-langchain is a documentation assistant that leverages managed deep agents and LangChain middleware to provide on-topic responses and support knowledge base queries. [LibreChat](https://librechat.ai/) reports 42k GitHub stars, 8.8k forks, and 725 open issues, last pushed Aug 25, 2026. [chat-langchain](https://chat.langchain.com) has 6.4k stars, 1.5k forks, and 68 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [LibreChat's repository](https://github.com/danny-avila/LibreChat) and [chat-langchain's repository](https://github.com/langchain-ai/chat-langchain). | | [LibreChat](/tools/danny-avila-librechat.md) | [chat-langchain](/tools/langchain-ai-chat-langchain.md) | | --- | --- | --- | | Tagline | Enhanced ChatGPT Clone with extensive features and integrations for self-hosting | A documentation assistant demonstrating managed deep agent deployment and LangChain agents. | | Stars | 42,443 | 6,433 | | Forks | 8,804 | 1,488 | | Open issues | 725 | 68 | | Language | TypeScript | TypeScript | | Adopt for | LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication. | Chat-langchain is a documentation assistant that leverages managed deep agents and LangChain middleware to provide on-topic responses and support knowledge base queries. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LibreChat](/tools/danny-avila-librechat.md) | [chat-langchain](/tools/langchain-ai-chat-langchain.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 725 | 68 | | Stars delta | +1.2k (30d) | +27 (30d) | | Open issues delta | +100 (30d) | +20 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/danny-avila-librechat/trust.md) | [trust report](/tools/langchain-ai-chat-langchain/trust.md) | ## Decision facts: LibreChat - **Adopt for:** LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication. ## Decision facts: chat-langchain - **Adopt for:** Chat-langchain is a documentation assistant that leverages managed deep agents and LangChain middleware to provide on-topic responses and support knowledge base queries. ## Choose when ### Choose LibreChat if… - Tags unique to LibreChat: ai, anthropic, artifacts, aws. - Also covers Data & Retrieval, Developer Tools, Evaluation & Observability, Model Training. - LibreChat ships Docker support for self-hosted deployment. - Need to support multiple AI models and protocols in one tool ### Choose chat-langchain if… - Tags unique to chat-langchain: conversation guardrails, documentation assistant, langchain agents, managed deep agents. - You need a specialized tool for accessing help and information about LangChain technologies, such as LangGraph and LangSmith. - Leaner open-issue backlog (68). ## When NOT to use LibreChat - Looking for a simpler solution with fewer configurability options - Do not require extensive third-party service integrations or complex customizations ## When NOT to use chat-langchain - Your team prefers to use general-purpose AI agents over those specialized for a specific technology stack like LangChain. - You do not require managed deployment services and prefer more control over deployment configurations through traditional methods rather than Managed Deep Agents. ## Common questions ### What is the difference between LibreChat and chat-langchain? LibreChat: Enhanced ChatGPT Clone with extensive features and integrations for self-hosting. chat-langchain: A documentation assistant demonstrating managed deep agent deployment and LangChain agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LibreChat over chat-langchain? Choose LibreChat over chat-langchain when Tags unique to LibreChat: ai, anthropic, artifacts, aws; Also covers Data & Retrieval, Developer Tools, Evaluation & Observability, Model Training; LibreChat ships Docker support for self-hosted deployment; Need to support multiple AI models and protocols in one tool. ### When should I choose chat-langchain over LibreChat? Choose chat-langchain over LibreChat when Tags unique to chat-langchain: conversation guardrails, documentation assistant, langchain agents, managed deep agents; You need a specialized tool for accessing help and information about LangChain technologies, such as LangGraph and LangSmith; Leaner open-issue backlog (68). ### When should I avoid LibreChat? Looking for a simpler solution with fewer configurability options Do not require extensive third-party service integrations or complex customizations ### When should I avoid chat-langchain? Your team prefers to use general-purpose AI agents over those specialized for a specific technology stack like LangChain. You do not require managed deployment services and prefer more control over deployment configurations through traditional methods rather than Managed Deep Agents. ### Is LibreChat or chat-langchain more popular on GitHub? LibreChat has more GitHub stars (42,443 vs 6,433). Stars measure visibility, not whether either tool fits your constraints. ### Are LibreChat and chat-langchain open source? Yes - both are open-source projects on GitHub (LibreChat: MIT, chat-langchain: MIT). ### Where can I find alternatives to LibreChat or chat-langchain? GraphCanon lists graph-backed alternatives at [LibreChat alternatives](/tools/danny-avila-librechat/alternatives) and [chat-langchain alternatives](/tools/langchain-ai-chat-langchain/alternatives) ([LibreChat markdown twin](/tools/danny-avila-librechat/alternatives.md), [chat-langchain markdown twin](/tools/langchain-ai-chat-langchain/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/danny-avila-librechat-vs-langchain-ai-chat-langchain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LibreChat or chat-langchain? LibreChat: Very active. chat-langchain: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for LibreChat and chat-langchain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LibreChat trust report](/tools/danny-avila-librechat/trust); [chat-langchain trust report](/tools/langchain-ai-chat-langchain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=danny-avila-librechat`](/api/graphcanon/graph?tool=danny-avila-librechat) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_