--- title: "forge vs GPTCache" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/antoinezambelli-forge-vs-zilliztech-gptcache" tools: ["antoinezambelli-forge", "zilliztech-gptcache"] --- # forge vs GPTCache *GraphCanon updated Sep 20, 2026* ## Verdict Pick forge if developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge; 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. [forge](https://github.com/antoinezambelli/forge) reports 2.2k GitHub stars, 173 forks, and 3 open issues, last pushed Sep 1, 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 [forge's repository](https://github.com/antoinezambelli/forge) and [GPTCache's repository](https://github.com/zilliztech/GPTCache). | | [forge](/tools/antoinezambelli-forge.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Tagline | A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows | Semantic cache for LLMs, integrated with LangChain and llama_index. | | Stars | 2,248 | 8,194 | | Forks | 173 | 595 | | Open issues | 3 | 99 | | Language | Python | Python | | Adopt for | Developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge. | 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 | MIT | | Categories | AI Agents, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [forge](/tools/antoinezambelli-forge.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 19d | 433d | | Open issues (now) | 3 | 99 | | Stars delta | +31 (30d) | +70 (30d) | | Open issues delta | -1 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/antoinezambelli-forge/trust.md) | [trust report](/tools/zilliztech-gptcache/trust.md) | ## Shared compatibility - **Python**: [forge](/tools/antoinezambelli-forge.md) - Python runtime; [GPTCache](/tools/zilliztech-gptcache.md) - Python runtime ## Decision facts: forge - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case. - **Adopt for:** Developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge. ## 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 forge if… - Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case.. - Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework. - Also covers AI Agents. - forge ships Docker support for self-hosted deployment. - - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic. ### Choose GPTCache if… - 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 Data & Retrieval. - 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 forge - - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup. - - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management. - - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services. ## 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 forge and GPTCache? forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. 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 forge over GPTCache? Choose forge over GPTCache when Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case.; Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework; Also covers AI Agents; forge ships Docker support for self-hosted deployment; - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic. ### When should I choose GPTCache over forge? Choose GPTCache over forge when 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 Data & Retrieval; 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 forge? - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup. - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management. - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services. ### 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 forge or GPTCache more popular on GitHub? GPTCache has more GitHub stars (8,194 vs 2,248). Stars measure visibility, not whether either tool fits your constraints. ### Are forge and GPTCache open source? Yes - both are open-source projects on GitHub (forge: MIT, GPTCache: MIT). ### Where can I find alternatives to forge or GPTCache? GraphCanon lists graph-backed alternatives at [forge alternatives](/tools/antoinezambelli-forge/alternatives) and [GPTCache alternatives](/tools/zilliztech-gptcache/alternatives) ([forge markdown twin](/tools/antoinezambelli-forge/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/antoinezambelli-forge-vs-zilliztech-gptcache.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, forge or GPTCache? forge: Active. 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 forge and GPTCache? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [forge trust report](/tools/antoinezambelli-forge/trust); [GPTCache trust report](/tools/zilliztech-gptcache/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=antoinezambelli-forge`](/api/graphcanon/graph?tool=antoinezambelli-forge) - 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/_