--- title: "chat-langchain vs OpenChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-chat-langchain-vs-opencx-labs-openchat" tools: ["langchain-ai-chat-langchain", "opencx-labs-openchat"] --- # chat-langchain vs OpenChat *GraphCanon updated Aug 15, 2026* ## Verdict 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; pick OpenChat if critical facts on using OpenChat. [chat-langchain](https://chat.langchain.com) reports 6.4k GitHub stars, 1.5k forks, and 68 open issues, last pushed Aug 13, 2026. [OpenChat](https://open.cx) has 5.2k stars, 644 forks, and 37 open issues, last pushed Feb 27, 2024. Figures are from public GitHub metadata via [chat-langchain's repository](https://github.com/langchain-ai/chat-langchain) and [OpenChat's repository](https://github.com/opencx-labs/OpenChat). | | [chat-langchain](/tools/langchain-ai-chat-langchain.md) | [OpenChat](/tools/opencx-labs-openchat.md) | | --- | --- | --- | | Tagline | A documentation assistant demonstrating managed deep agent deployment and LangChain agents. | LLMs custom-chatbots console ⚡ | | Stars | 6,433 | 5,237 | | Forks | 1,488 | 644 | | Open issues | 68 | 37 | | Language | TypeScript | JavaScript | | 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. | Critical facts on using OpenChat | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chat-langchain](/tools/langchain-ai-chat-langchain.md) | [OpenChat](/tools/opencx-labs-openchat.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 899d | | Archived on GitHub | No | Yes | | Open issues (now) | 68 | 37 | | Stars delta | +27 (30d) | -2 (30d) | | Open issues delta | +20 (30d) | 0 (30d) | | Full report | [trust report](/tools/langchain-ai-chat-langchain/trust.md) | [trust report](/tools/opencx-labs-openchat/trust.md) | ## Shared compatibility - **Python**: [chat-langchain](/tools/langchain-ai-chat-langchain.md) - Python runtime; [OpenChat](/tools/opencx-labs-openchat.md) - Python runtime ## 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. ## Decision facts: OpenChat - **Requirements:** Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations - **Adopt for:** Critical facts on using OpenChat ## Choose when ### Choose chat-langchain if… - chat-langchain is primarily TypeScript; OpenChat is JavaScript. - Tags unique to chat-langchain: conversation guardrails, documentation assistant, langchain agents, managed deep agents. - Also covers AI Agents. - You need a specialized tool for accessing help and information about LangChain technologies, such as LangGraph and LangSmith. ### Choose OpenChat if… - OpenChat is primarily JavaScript; chat-langchain is TypeScript. - Requirements: Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations. - Tags unique to OpenChat: custom-chatbots, docker, javascript, openchat console. - Also covers Evaluation & Observability. - OpenChat ships Docker support for self-hosted deployment. - Critical facts on using OpenChat ## 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. ## When NOT to use OpenChat - OpenChat is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between chat-langchain and OpenChat? chat-langchain: A documentation assistant demonstrating managed deep agent deployment and LangChain agents.. OpenChat: LLMs custom-chatbots console ⚡. See the comparison table for live GitHub stats and shared categories. ### When should I choose chat-langchain over OpenChat? Choose chat-langchain over OpenChat when chat-langchain is primarily TypeScript; OpenChat is JavaScript; Tags unique to chat-langchain: conversation guardrails, documentation assistant, langchain agents, managed deep agents; Also covers AI Agents; You need a specialized tool for accessing help and information about LangChain technologies, such as LangGraph and LangSmith. ### When should I choose OpenChat over chat-langchain? Choose OpenChat over chat-langchain when OpenChat is primarily JavaScript; chat-langchain is TypeScript; Requirements: Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations; Tags unique to OpenChat: custom-chatbots, docker, javascript, openchat console; Also covers Evaluation & Observability; OpenChat ships Docker support for self-hosted deployment; Critical facts on using OpenChat. ### 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. ### When should I avoid OpenChat? OpenChat is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is chat-langchain or OpenChat more popular on GitHub? chat-langchain has more GitHub stars (6,433 vs 5,237). Stars measure visibility, not whether either tool fits your constraints. ### Are chat-langchain and OpenChat open source? Yes - both are open-source projects on GitHub (chat-langchain: MIT, OpenChat: MIT). ### Where can I find alternatives to chat-langchain or OpenChat? GraphCanon lists graph-backed alternatives at [chat-langchain alternatives](/tools/langchain-ai-chat-langchain/alternatives) and [OpenChat alternatives](/tools/opencx-labs-openchat/alternatives) ([chat-langchain markdown twin](/tools/langchain-ai-chat-langchain/alternatives.md), [OpenChat markdown twin](/tools/opencx-labs-openchat/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/langchain-ai-chat-langchain-vs-opencx-labs-openchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chat-langchain or OpenChat? chat-langchain: Very active. OpenChat: Archived. 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 chat-langchain and OpenChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chat-langchain trust report](/tools/langchain-ai-chat-langchain/trust); [OpenChat trust report](/tools/opencx-labs-openchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-chat-langchain`](/api/graphcanon/graph?tool=langchain-ai-chat-langchain) - 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/_