Home/Compare/KVarN vs GPTCache

Comparison

KVarN vs GPTCache

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.

Markdown twin · KVarN alternatives · GPTCache alternatives

GraphCanon updated today

KVarN logo

KVarN

huawei-csl/KVarN

470pushed Jun 22, 2026
vs
GPTCache logo

GPTCache

zilliztech/GPTCache

8.1kpushed Jul 11, 2025

Trust & integrity

SignalKVarNGPTCache
Maintenance
Steady (64d since push)
As of today · github_public_v1
Dormant (392d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

KVarN
vLLM KV-cache quantization backend for AI agents
GPTCache
Semantic cache for LLMs.

Stars

KVarN
470
GPTCache
8.1k

Forks

KVarN
35
GPTCache
589

Open issues

KVarN
11
GPTCache
94

Language

KVarN
Python
GPTCache
Python

Adopt for

KVarN
KVarN amplifies AI agent capabilities via vLLM KV-cache quantization for extended context and throughput without sacrificing accuracy.
GPTCache
Semantic caching tool for LLMs, integrates with LangChain and llama_index.

Persona

KVarN
-
GPTCache
-

Runtime

KVarN
-
GPTCache
-

License

KVarN
Apache-2.0
GPTCache
MIT

Last pushed

KVarN
Jun 22, 2026
GPTCache
Jul 11, 2025

Categories

KVarN
Inference & Serving
GPTCache
Evaluation & Observability, Inference & Serving

Trust and health

Maintenance

KVarN
Steady (60%)
GPTCache
Dormant (18%)

Days since push

KVarN
64d
GPTCache
392d

Open issues (now)

KVarN
11
GPTCache
94

Stars delta

KVarN
+28 (30d)
GPTCache
Unknown

Open issues delta

KVarN
+3 (30d)
GPTCache
Unknown

OSV dependency advisories

KVarN
No lockfile (source not queried)
GPTCache
No published findings from this source as of 2026-07-11

Full report

GPTCache
Trust report

Shared compatibility

  • Python · KVarN: Python runtime · GPTCache: Python runtime

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: KVarN 470 · GPTCache 8.1k (synced Aug 25, 2026).

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 and GPTCache alternatives (KVarN markdown twin, GPTCache markdown twin), 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 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; GPTCache trust report.

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