--- title: "Langchain-Chatchat vs local-deep-research" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-learningcircuit-local-deep-research" tools: ["chatchat-space-langchain-chatchat", "learningcircuit-local-deep-research"] --- # Langchain-Chatchat vs local-deep-research *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 local-deep-research if for deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. [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. [local-deep-research](https://github.com/LearningCircuit/local-deep-research) has 9.1k stars, 824 forks, and 887 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [local-deep-research's repository](https://github.com/LearningCircuit/local-deep-research). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [local-deep-research](/tools/learningcircuit-local-deep-research.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app with Langchain | Supports local and cloud LLMs with encrypted search from diverse sources. | | Stars | 38,644 | 9,109 | | Forks | 6,265 | 824 | | Open issues | 26 | 887 | | 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. | For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [local-deep-research](/tools/learningcircuit-local-deep-research.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 311d | 0d | | Open issues (now) | 26 | 887 | | Stars delta | +122 (30d) | +209 (30d) | | Open issues delta | +1 (30d) | +535 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/learningcircuit-local-deep-research/trust.md) | ## Shared compatibility - **LangChain**: [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) - LangChain integration; [local-deep-research](/tools/learningcircuit-local-deep-research.md) - LangChain integration ## 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: local-deep-research - **Adopt for:** For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. ## Choose when ### Choose Langchain-Chatchat if… - License: Langchain-Chatchat is Apache-2.0, local-deep-research is MIT. - Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt. - Also covers AI Agents. - When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### Choose local-deep-research if… - License: local-deep-research is MIT, Langchain-Chatchat is Apache-2.0. - Tags unique to local-deep-research: academia, anthropic, arxiv, encryption. - local-deep-research ships Docker support for self-hosted deployment. - You need encryption for all data processing steps and want support for various sources like academic articles and personal files. ## 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 local-deep-research - If you require real-time collaboration features that are not supported by this tool's framework. - In scenarios where online connectivity is unreliable and external search engine support is considered critical. ## Common questions ### What is the difference between Langchain-Chatchat and local-deep-research? Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. local-deep-research: Supports local and cloud LLMs with encrypted search from diverse sources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over local-deep-research? Choose Langchain-Chatchat over local-deep-research when License: Langchain-Chatchat is Apache-2.0, local-deep-research is MIT; Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers AI Agents; 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 local-deep-research over Langchain-Chatchat? Choose local-deep-research over Langchain-Chatchat when License: local-deep-research is MIT, Langchain-Chatchat is Apache-2.0; Tags unique to local-deep-research: academia, anthropic, arxiv, encryption; local-deep-research ships Docker support for self-hosted deployment; You need encryption for all data processing steps and want support for various sources like academic articles and personal files. ### 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 local-deep-research? If you require real-time collaboration features that are not supported by this tool's framework. In scenarios where online connectivity is unreliable and external search engine support is considered critical. ### Is Langchain-Chatchat or local-deep-research more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 9,109). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and local-deep-research open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, local-deep-research: MIT). ### Where can I find alternatives to Langchain-Chatchat or local-deep-research? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [local-deep-research alternatives](/tools/learningcircuit-local-deep-research/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [local-deep-research markdown twin](/tools/learningcircuit-local-deep-research/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-learningcircuit-local-deep-research.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or local-deep-research? Langchain-Chatchat: Slowing. local-deep-research: 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 Langchain-Chatchat and local-deep-research? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [local-deep-research trust report](/tools/learningcircuit-local-deep-research/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/_