--- title: "Langchain-Chatchat vs chatless" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-kamjin3086-chatless" tools: ["chatchat-space-langchain-chatchat", "kamjin3086-chatless"] --- # Langchain-Chatchat vs chatless *GraphCanon updated Sep 20, 2026* ## Verdict Pick Langchain-Chatchat if langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama; pick chatless if a simple and lightweight local AI chat client for offline use developed with Tauri and Next.js in TypeScript. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) reports 39k GitHub stars, 6.3k forks, and 26 open issues, last pushed Nov 10, 2025. [chatless](https://kamjin3086.github.io/chatless) has 292 stars, 42 forks, and 7 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [chatless's repository](https://github.com/kamjin3086/chatless). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [chatless](/tools/kamjin3086-chatless.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app with Langchain | a simple practical lightweight local AI chat client | | Stars | 38,644 | 292 | | Forks | 6,265 | 42 | | Open issues | 26 | 7 | | Language | Python | TypeScript | | Adopt for | Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. | A simple and lightweight local AI chat client for offline use developed with Tauri and Next.js in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [chatless](/tools/kamjin3086-chatless.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 311d | 72d | | Open issues (now) | 26 | 7 | | Stars delta | +122 (30d) | +6 (30d) | | Open issues delta | +1 (30d) | +4 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/kamjin3086-chatless/trust.md) | ## Decision facts: Langchain-Chatchat - **Adopt for:** Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. ## Decision facts: chatless - **Adopt for:** A simple and lightweight local AI chat client for offline use developed with Tauri and Next.js in TypeScript. ## Choose when ### Choose Langchain-Chatchat if… - Langchain-Chatchat is primarily Python; chatless is TypeScript. - License: Langchain-Chatchat is Apache-2.0, chatless is MIT. - Tags unique to Langchain-Chatchat: chatchat, chatglm, chatgpt, embedding. - Also covers Data & Retrieval. - When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### Choose chatless if… - chatless is primarily TypeScript; Langchain-Chatchat is Python. - License: chatless is MIT, Langchain-Chatchat is Apache-2.0. - Tags unique to chatless: ai, desktop-app, knowledge-base, llm. - When you need a privacy-focused, portable AI chat solution that operates entirely without internet connectivity. ## When NOT to use Langchain-Chatchat - If you are looking for a cloud-based solution that does not require local deployment and management. - When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. - If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. - When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ## When NOT to use chatless - If your project requires advanced model training features directly within the application. - In scenarios demanding real-time access to cloud-hosted AI services for dynamic content updates. ## Common questions ### What is the difference between Langchain-Chatchat and chatless? Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. chatless: a simple practical lightweight local AI chat client. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over chatless? Choose Langchain-Chatchat over chatless when Langchain-Chatchat is primarily Python; chatless is TypeScript; License: Langchain-Chatchat is Apache-2.0, chatless is MIT; Tags unique to Langchain-Chatchat: chatchat, chatglm, chatgpt, embedding; Also covers Data & Retrieval; When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### When should I choose chatless over Langchain-Chatchat? Choose chatless over Langchain-Chatchat when chatless is primarily TypeScript; Langchain-Chatchat is Python; License: chatless is MIT, Langchain-Chatchat is Apache-2.0; Tags unique to chatless: ai, desktop-app, knowledge-base, llm; When you need a privacy-focused, portable AI chat solution that operates entirely without internet connectivity. ### When should I avoid Langchain-Chatchat? If you are looking for a cloud-based solution that does not require local deployment and management. When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ### When should I avoid chatless? If your project requires advanced model training features directly within the application. In scenarios demanding real-time access to cloud-hosted AI services for dynamic content updates. ### Is Langchain-Chatchat or chatless more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 292). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and chatless open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, chatless: MIT). ### Where can I find alternatives to Langchain-Chatchat or chatless? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [chatless alternatives](/tools/kamjin3086-chatless/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [chatless markdown twin](/tools/kamjin3086-chatless/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/chatchat-space-langchain-chatchat-vs-kamjin3086-chatless.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or chatless? Langchain-Chatchat: Slowing. chatless: Steady. 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 Langchain-Chatchat and chatless? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [chatless trust report](/tools/kamjin3086-chatless/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat`](/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat) - 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/_