--- title: "Langchain-Chatchat vs GPTCache" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-zilliztech-gptcache" tools: ["chatchat-space-langchain-chatchat", "zilliztech-gptcache"] --- # Langchain-Chatchat vs GPTCache *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 GPTCache if gPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses. [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. [GPTCache](https://gptcache.readthedocs.io) has 8.2k stars, 595 forks, and 99 open issues, last pushed Jul 11, 2025. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [GPTCache's repository](https://github.com/zilliztech/GPTCache). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app with Langchain | Semantic cache for LLMs, integrated with LangChain and llama_index. | | Stars | 38,644 | 8,194 | | Forks | 6,265 | 595 | | Open issues | 26 | 99 | | 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. | GPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses. | | 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) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 311d | 433d | | Open issues (now) | 26 | 99 | | Stars delta | +122 (30d) | +70 (30d) | | Open issues delta | +1 (30d) | +5 (30d) | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/zilliztech-gptcache/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: GPTCache - **Pricing:** freemium - GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may, - **Requirements:** Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality. - **Adopt for:** GPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses. ## Choose when ### Choose Langchain-Chatchat if… - License: Langchain-Chatchat is Apache-2.0, GPTCache is MIT. - Tags unique to Langchain-Chatchat: chatchat, chatglm, embedding, faiss. - 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 GPTCache if… - License: GPTCache is MIT, Langchain-Chatchat is Apache-2.0. - Pricing: GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may,. - Requirements: Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality.. - Tags unique to GPTCache: aigc, autogpt, babyagi, chatgpt-api. - When you are working with LangChain or llama_index and want to enhance the efficiency of your large language models by caching responses semantically. ## 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 GPTCache - If your project does not involve LangChain or llama_index, as GPTCache's integration benefits are specific to these frameworks. - When you need a caching solution that supports a wide range of frameworks beyond LangChain and llama_index, as GPTCache's integration is limited to these specific tools. ## Common questions ### What is the difference between Langchain-Chatchat and GPTCache? Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. GPTCache: Semantic cache for LLMs, integrated with LangChain and llama_index.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over GPTCache? Choose Langchain-Chatchat over GPTCache when License: Langchain-Chatchat is Apache-2.0, GPTCache is MIT; Tags unique to Langchain-Chatchat: chatchat, chatglm, embedding, faiss; 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 GPTCache over Langchain-Chatchat? Choose GPTCache over Langchain-Chatchat when License: GPTCache is MIT, Langchain-Chatchat is Apache-2.0; Pricing: GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may,; Requirements: Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality.; Tags unique to GPTCache: aigc, autogpt, babyagi, chatgpt-api; When you are working with LangChain or llama_index and want to enhance the efficiency of your large language models by caching responses semantically. ### 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 GPTCache? If your project does not involve LangChain or llama_index, as GPTCache's integration benefits are specific to these frameworks. When you need a caching solution that supports a wide range of frameworks beyond LangChain and llama_index, as GPTCache's integration is limited to these specific tools. ### Is Langchain-Chatchat or GPTCache more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 8,194). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and GPTCache open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, GPTCache: MIT). ### Where can I find alternatives to Langchain-Chatchat or GPTCache? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [GPTCache alternatives](/tools/zilliztech-gptcache/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [GPTCache markdown twin](/tools/zilliztech-gptcache/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-zilliztech-gptcache.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or GPTCache? Langchain-Chatchat: Slowing. GPTCache: 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 GPTCache? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [GPTCache trust report](/tools/zilliztech-gptcache/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/_