--- title: "Langchain-Chatchat vs qabot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-hardbyte-qabot" tools: ["chatchat-space-langchain-chatchat", "hardbyte-qabot"] --- # Langchain-Chatchat vs qabot *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 qabot if qabot enables CLI-based natural language queries on local or remote data. It is licensed under Apache-2.0. [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. [qabot](https://github.com/hardbyte/qabot) has 244 stars, 20 forks, and 2 open issues, last pushed Mar 5, 2025. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [qabot's repository](https://github.com/hardbyte/qabot). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [qabot](/tools/hardbyte-qabot.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app with Langchain | CLI-based natural language queries on local or remote data | | Stars | 38,644 | 244 | | Forks | 6,265 | 20 | | Open issues | 26 | 2 | | Language | Python | Python | | 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. | qabot enables CLI-based natural language queries on local or remote data. It is licensed under Apache-2.0. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [qabot](/tools/hardbyte-qabot.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 311d | 563d | | Open issues (now) | 26 | 2 | | Stars delta | +122 (30d) | -1 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/hardbyte-qabot/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: qabot - **Adopt for:** qabot enables CLI-based natural language queries on local or remote data. It is licensed under Apache-2.0. ## Choose when ### Choose Langchain-Chatchat if… - Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt. - Also covers AI Agents, LLM Frameworks. - When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### Choose qabot if… - Tags unique to qabot: natural language processing, query interface. - qabot ships Docker support for self-hosted deployment. - Prefer qabot for users who prefer command-line interaction over graphical interfaces. ## 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 qabot - Avoid if your workflow requires frequent visual analysis and interactivity. - Skip qabot for scenarios with limited data transfer budgets as it might incur charges with remote data access. ## Common questions ### What is the difference between Langchain-Chatchat and qabot? Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. qabot: CLI-based natural language queries on local or remote data. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over qabot? Choose Langchain-Chatchat over qabot when Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers AI Agents, LLM Frameworks; 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 qabot over Langchain-Chatchat? Choose qabot over Langchain-Chatchat when Tags unique to qabot: natural language processing, query interface; qabot ships Docker support for self-hosted deployment; Prefer qabot for users who prefer command-line interaction over graphical interfaces. ### 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 qabot? Avoid if your workflow requires frequent visual analysis and interactivity. Skip qabot for scenarios with limited data transfer budgets as it might incur charges with remote data access. ### Is Langchain-Chatchat or qabot more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 244). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and qabot open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, qabot: Apache-2.0). ### Where can I find alternatives to Langchain-Chatchat or qabot? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [qabot alternatives](/tools/hardbyte-qabot/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [qabot markdown twin](/tools/hardbyte-qabot/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-hardbyte-qabot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or qabot? Langchain-Chatchat: Slowing. qabot: Dormant. 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 qabot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [qabot trust report](/tools/hardbyte-qabot/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/_