--- title: "cortex-memory vs GPTCache" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/skullfire07-cortex-memory-vs-zilliztech-gptcache" tools: ["skullfire07-cortex-memory", "zilliztech-gptcache"] --- # cortex-memory vs GPTCache *GraphCanon updated Sep 20, 2026* ## Verdict Pick cortex-memory if cortex-memory is a zero-config VSCode extension, CLI, and MCP server that provides persistent AI memory for coding sessions, auto-capturing decisions and context for tools like Claude Code, Cursor, and Cline; 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. [cortex-memory](https://marketplace.visualstudio.com/items?itemName=cortex-dev.cortex-ai-memory) reports 8 GitHub stars, 2 forks, and 0 open issues, last pushed Mar 25, 2026. [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 [cortex-memory's repository](https://github.com/SKULLFIRE07/cortex-memory) and [GPTCache's repository](https://github.com/zilliztech/GPTCache). | | [cortex-memory](/tools/skullfire07-cortex-memory.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Tagline | Persistent AI memory for coding sessions, auto-capturing decisions and context. | Semantic cache for LLMs, integrated with LangChain and llama_index. | | Stars | 8 | 8,194 | | Forks | 2 | 595 | | Open issues | 0 | 99 | | Language | TypeScript | Python | | Adopt for | cortex-memory is a zero-config VSCode extension, CLI, and MCP server that provides persistent AI memory for coding sessions, auto-capturing decisions and context for tools like Claude Code, Cursor, and Cline. | 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 | MIT License | MIT | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cortex-memory](/tools/skullfire07-cortex-memory.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 176d | 433d | | Open issues (now) | 0 | 99 | | Stars delta | +1 (30d) | +70 (30d) | | Open issues delta | 0 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/skullfire07-cortex-memory/trust.md) | [trust report](/tools/zilliztech-gptcache/trust.md) | ## Decision facts: cortex-memory - **Pricing:** freemium - The tool is open-source under the MIT License, making it free to use, but additional features or services may come at a cost. - **Requirements:** Min 2 GB RAM; Requires a compatible AI coding assistant like Claude Code, Cursor, or Cline.; Works best with VSCode, but also supports CLI and MCP server. - **Adopt for:** cortex-memory is a zero-config VSCode extension, CLI, and MCP server that provides persistent AI memory for coding sessions, auto-capturing decisions and context for tools like Claude Code, Cursor, and Cline. - **License detail:** MIT License ## 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 cortex-memory if… - cortex-memory is primarily TypeScript; GPTCache is Python. - Pricing: The tool is open-source under the MIT License, making it free to use, but additional features or services may come at a cost.. - Requirements: Min 2 GB RAM; Requires a compatible AI coding assistant like Claude Code, Cursor, or Cline.; Works best with VSCode, but also supports CLI and MCP server.. - Tags unique to cortex-memory: ai, ai-coding-assistant, ai-memory, claude. - Also covers Developer Tools. - When you are working with specific AI coding assistants like Claude Code, Cursor, or Cline and need persistent memory across coding sessions. ### Choose GPTCache if… - GPTCache is primarily Python; cortex-memory is TypeScript. - 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, chatbot. - Also covers LLM Frameworks. - 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 cortex-memory - If you are not using AI coding assistants like Claude Code, Cursor, or Cline, as cortex-memory is specifically designed to work with these tools. - When you prefer a tool that does not automatically capture decisions and context, and you want full control over what is stored and retrieved. - If you are working in an environment where zero-configuration tools are not suitable, and you require extensive customization options. ## 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 cortex-memory and GPTCache? cortex-memory: Persistent AI memory for coding sessions, auto-capturing decisions and context.. 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 cortex-memory over GPTCache? Choose cortex-memory over GPTCache when cortex-memory is primarily TypeScript; GPTCache is Python; Pricing: The tool is open-source under the MIT License, making it free to use, but additional features or services may come at a cost.; Requirements: Min 2 GB RAM; Requires a compatible AI coding assistant like Claude Code, Cursor, or Cline.; Works best with VSCode, but also supports CLI and MCP server.; Tags unique to cortex-memory: ai, ai-coding-assistant, ai-memory, claude; Also covers Developer Tools; When you are working with specific AI coding assistants like Claude Code, Cursor, or Cline and need persistent memory across coding sessions. ### When should I choose GPTCache over cortex-memory? Choose GPTCache over cortex-memory when GPTCache is primarily Python; cortex-memory is TypeScript; 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, chatbot; Also covers LLM Frameworks; 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 cortex-memory? If you are not using AI coding assistants like Claude Code, Cursor, or Cline, as cortex-memory is specifically designed to work with these tools. When you prefer a tool that does not automatically capture decisions and context, and you want full control over what is stored and retrieved. If you are working in an environment where zero-configuration tools are not suitable, and you require extensive customization options. ### 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 cortex-memory or GPTCache more popular on GitHub? GPTCache has more GitHub stars (8,194 vs 8). Stars measure visibility, not whether either tool fits your constraints. ### Are cortex-memory and GPTCache open source? Yes - both are open-source projects on GitHub (cortex-memory: MIT, GPTCache: MIT). ### Where can I find alternatives to cortex-memory or GPTCache? GraphCanon lists graph-backed alternatives at [cortex-memory alternatives](/tools/skullfire07-cortex-memory/alternatives) and [GPTCache alternatives](/tools/zilliztech-gptcache/alternatives) ([cortex-memory markdown twin](/tools/skullfire07-cortex-memory/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/skullfire07-cortex-memory-vs-zilliztech-gptcache.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cortex-memory or GPTCache? cortex-memory: 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 cortex-memory and GPTCache? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cortex-memory trust report](/tools/skullfire07-cortex-memory/trust); [GPTCache trust report](/tools/zilliztech-gptcache/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=skullfire07-cortex-memory`](/api/graphcanon/graph?tool=skullfire07-cortex-memory) - 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/_