--- title: "chainlit vs Langchain-Chatchat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chainlit-chainlit-vs-chatchat-space-langchain-chatchat" tools: ["chainlit-chainlit", "chatchat-space-langchain-chatchat"] --- # chainlit vs Langchain-Chatchat *GraphCanon updated Sep 20, 2026* ## Verdict Pick chainlit if chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps; 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. [chainlit](https://docs.chainlit.io) reports 12k GitHub stars, 1.7k forks, and 144 open issues, last pushed Aug 26, 2026. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) has 39k stars, 6.3k forks, and 26 open issues, last pushed Nov 10, 2025. Figures are from public GitHub metadata via [chainlit's repository](https://github.com/Chainlit/chainlit) and [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat). | | [chainlit](/tools/chainlit-chainlit.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Tagline | Build Conversational AI in minutes ⚡️ | Local knowledge-based LLM RAG and Agent app with Langchain | | Stars | 12,435 | 38,644 | | Forks | 1,747 | 6,265 | | Open issues | 144 | 26 | | Language | Python | Python | | Adopt for | Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chainlit](/tools/chainlit-chainlit.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 12d | 311d | | Open issues (now) | 144 | 26 | | Stars delta | +62 (30d) | +122 (30d) | | Open issues delta | +2 (30d) | +1 (30d) | | Full report | [trust report](/tools/chainlit-chainlit/trust.md) | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | ## Decision facts: chainlit - **Adopt for:** Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps. ## 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. ## Choose when ### Choose chainlit if… - Tags unique to chainlit: langchain, llm, openai, openai-chatgpt. - - When you want to develop conversational AI applications rapidly using familiar Python syntax. - More recently updated (last pushed Aug 26, 2026). ### Choose Langchain-Chatchat if… - Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, 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 NOT to use chainlit - - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds. ## 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. ## Common questions ### What is the difference between chainlit and Langchain-Chatchat? chainlit: Build Conversational AI in minutes ⚡️. Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. See the comparison table for live GitHub stats and shared categories. ### When should I choose chainlit over Langchain-Chatchat? Choose chainlit over Langchain-Chatchat when Tags unique to chainlit: langchain, llm, openai, openai-chatgpt; - When you want to develop conversational AI applications rapidly using familiar Python syntax; More recently updated (last pushed Aug 26, 2026). ### When should I choose Langchain-Chatchat over chainlit? Choose Langchain-Chatchat over chainlit when Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, 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 avoid chainlit? - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds. ### 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. ### Is chainlit or Langchain-Chatchat more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 12,435). Stars measure visibility, not whether either tool fits your constraints. ### Are chainlit and Langchain-Chatchat open source? Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, Langchain-Chatchat: Apache-2.0). ### Where can I find alternatives to chainlit or Langchain-Chatchat? GraphCanon lists graph-backed alternatives at [chainlit alternatives](/tools/chainlit-chainlit/alternatives) and [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) ([chainlit markdown twin](/tools/chainlit-chainlit/alternatives.md), [Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/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/chainlit-chainlit-vs-chatchat-space-langchain-chatchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chainlit or Langchain-Chatchat? chainlit: Active. Langchain-Chatchat: Slowing. 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 chainlit and Langchain-Chatchat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chainlit trust report](/tools/chainlit-chainlit/trust); [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chainlit-chainlit`](/api/graphcanon/graph?tool=chainlit-chainlit) - 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/_