--- title: "KVarN vs GPTCache" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huawei-csl-kvarn-vs-zilliztech-gptcache" tools: ["huawei-csl-kvarn", "zilliztech-gptcache"] --- # KVarN vs GPTCache *GraphCanon updated Aug 25, 2026* ## Verdict Pick KVarN if kVarN amplifies AI agent capabilities via vLLM KV-cache quantization for extended context and throughput without sacrificing accuracy; pick GPTCache if semantic caching tool for LLMs, integrates with LangChain and llama_index. [KVarN](https://arxiv.org/abs/2606.03458) reports 470 GitHub stars, 35 forks, and 11 open issues, last pushed Jun 22, 2026. [GPTCache](https://gptcache.readthedocs.io) has 8.1k stars, 589 forks, and 94 open issues, last pushed Jul 11, 2025. Figures are from public GitHub metadata via [KVarN's repository](https://github.com/huawei-csl/KVarN) and [GPTCache's repository](https://github.com/zilliztech/GPTCache). | | [KVarN](/tools/huawei-csl-kvarn.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Tagline | vLLM KV-cache quantization backend for AI agents | Semantic cache for LLMs. | | Stars | 470 | 8,124 | | Forks | 35 | 589 | | Open issues | 11 | 94 | | Language | Python | Python | | Adopt for | KVarN amplifies AI agent capabilities via vLLM KV-cache quantization for extended context and throughput without sacrificing accuracy. | Semantic caching tool for LLMs, integrates with LangChain and llama_index. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [KVarN](/tools/huawei-csl-kvarn.md) | [GPTCache](/tools/zilliztech-gptcache.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 64d | 392d | | Open issues (now) | 11 | 94 | | Stars delta | +28 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Full report | [trust report](/tools/huawei-csl-kvarn/trust.md) | [trust report](/tools/zilliztech-gptcache/trust.md) | ## Shared compatibility - **Python**: [KVarN](/tools/huawei-csl-kvarn.md) - Python runtime; [GPTCache](/tools/zilliztech-gptcache.md) - Python runtime ## Decision facts: KVarN - **Adopt for:** KVarN amplifies AI agent capabilities via vLLM KV-cache quantization for extended context and throughput without sacrificing accuracy. ## Decision facts: GPTCache - **Adopt for:** Semantic caching tool for LLMs, integrates with LangChain and llama_index. ## Choose when ### Choose KVarN if… - License: KVarN is Apache-2.0, GPTCache is MIT. - Tags unique to KVarN: agentic-ai, kv-cache, llm-inference, long-context. - For applications needing over threefold to fivefold increase in context length compared to FP16. ### Choose GPTCache if… - License: GPTCache is MIT, KVarN is Apache-2.0. - Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot. - Also covers Evaluation & Observability. - You need vector search capabilities integrated directly into your caching mechanism using Milvus or Redis. ## When NOT to use KVarN - If project constraints do not allow for Apache-2.0 licensing terms. - Projects that cannot benefit from a quantization backend, such as those requiring non-variable length model support. ## When NOT to use GPTCache - Your application strictly requires a non-Python environment as GPTCache is Python-specific. - If you seek minimal dependencies and manual setup; GPTCache installs additional libraries automatically based on usage. ## Common questions ### What is the difference between KVarN and GPTCache? KVarN: vLLM KV-cache quantization backend for AI agents. GPTCache: Semantic cache for LLMs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose KVarN over GPTCache? Choose KVarN over GPTCache when License: KVarN is Apache-2.0, GPTCache is MIT; Tags unique to KVarN: agentic-ai, kv-cache, llm-inference, long-context; For applications needing over threefold to fivefold increase in context length compared to FP16. ### When should I choose GPTCache over KVarN? Choose GPTCache over KVarN when License: GPTCache is MIT, KVarN is Apache-2.0; Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot; Also covers Evaluation & Observability; You need vector search capabilities integrated directly into your caching mechanism using Milvus or Redis. ### When should I avoid KVarN? If project constraints do not allow for Apache-2.0 licensing terms. Projects that cannot benefit from a quantization backend, such as those requiring non-variable length model support. ### When should I avoid GPTCache? Your application strictly requires a non-Python environment as GPTCache is Python-specific. If you seek minimal dependencies and manual setup; GPTCache installs additional libraries automatically based on usage. ### Is KVarN or GPTCache more popular on GitHub? GPTCache has more GitHub stars (8,124 vs 470). Stars measure visibility, not whether either tool fits your constraints. ### Are KVarN and GPTCache open source? Yes - both are open-source projects on GitHub (KVarN: Apache-2.0, GPTCache: MIT). ### Where can I find alternatives to KVarN or GPTCache? GraphCanon lists graph-backed alternatives at [KVarN alternatives](/tools/huawei-csl-kvarn/alternatives) and [GPTCache alternatives](/tools/zilliztech-gptcache/alternatives) ([KVarN markdown twin](/tools/huawei-csl-kvarn/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/huawei-csl-kvarn-vs-zilliztech-gptcache.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, KVarN or GPTCache? KVarN: Steady. 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 KVarN and GPTCache? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [KVarN trust report](/tools/huawei-csl-kvarn/trust); [GPTCache trust report](/tools/zilliztech-gptcache/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huawei-csl-kvarn`](/api/graphcanon/graph?tool=huawei-csl-kvarn) - 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/_