Comparison
KVarN vs kvcached
Verdict
Pick KVarN when tags unique to KVarN: vllm, python, quantization, agentic-ai; pick kvcached when tags unique to kvcached: kvcache-optimization, kvcached, elastic-kvcache, gpu-mutiplexing.
Markdown twin · KVarN alternatives · kvcached alternatives
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Trust & integrity
| Signal | KVarN | kvcached |
|---|---|---|
| Maintenance | Active (19d since push) As of today · github_public_v1 | Active (9d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- KVarN
- KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
- kvcached
- Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Stars
- KVarN
- 435
- kvcached
- 1.1k
Forks
- KVarN
- 28
- kvcached
- 122
Open issues
- KVarN
- 7
- kvcached
- 90
Language
- KVarN
- Python
- kvcached
- Python
Adopt for
- KVarN
- -
- kvcached
- -
Persona
- KVarN
- -
- kvcached
- -
Runtime
- KVarN
- -
- kvcached
- -
License
- KVarN
- Apache-2.0
- kvcached
- Apache-2.0
Last pushed
- KVarN
- Jun 22, 2026
- kvcached
- Jul 2, 2026
Categories
- KVarN
- LLM Frameworks, AI Agents, Inference & Serving
- kvcached
- LLM Frameworks, Inference & Serving
Trust and health
Days since push
- KVarN
- 19d
- kvcached
- 9d
Open issues (now)
- KVarN
- 7
- kvcached
- 90
Full report
- KVarN
- Trust report
- kvcached
- Trust report
Choose KVarN if…
- Tags unique to KVarN: vllm, python, quantization, agentic-ai.
- Also covers AI Agents.
- Leaner open-issue backlog (7).
When NOT to use KVarN
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose kvcached if…
- Tags unique to kvcached: kvcache-optimization, kvcached, elastic-kvcache, gpu-mutiplexing.
- More GitHub stars (1.1k vs 435) - visibility, not fit.
When NOT to use kvcached
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huawei-csl/KVarN) · observed Jul 11, 2026
- GitHub forks (huawei-csl/KVarN) · observed Jul 11, 2026
- Last push (huawei-csl/KVarN) · observed Jun 22, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ovg-project/kvcached) · observed Jul 11, 2026
- GitHub forks (ovg-project/kvcached) · observed Jul 11, 2026
- Last push (ovg-project/kvcached) · observed Jul 2, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: KVarN 435 · kvcached 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between KVarN and kvcached?
- KVarN: KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.. kvcached: Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond. See the comparison table for live GitHub stats and shared categories.
- When should I choose KVarN over kvcached?
- Choose KVarN over kvcached when Tags unique to KVarN: vllm, python, quantization, agentic-ai; Also covers AI Agents; Leaner open-issue backlog (7).
- When should I choose kvcached over KVarN?
- Choose kvcached over KVarN when Tags unique to kvcached: kvcache-optimization, kvcached, elastic-kvcache, gpu-mutiplexing; More GitHub stars (1.1k vs 435) - visibility, not fit.
- When should I avoid KVarN?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid kvcached?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is KVarN or kvcached more popular on GitHub?
- kvcached has more GitHub stars (1,093 vs 435). Stars measure visibility, not whether either tool fits your constraints.
- Are KVarN and kvcached open source?
- Yes - both are open-source projects on GitHub (KVarN: Apache-2.0, kvcached: Apache-2.0).
- Where can I find alternatives to KVarN or kvcached?
- GraphCanon lists graph-backed alternatives at KVarN alternatives and kvcached alternatives (KVarN markdown twin, kvcached 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 kvcached?
- KVarN: Active. kvcached: Active. 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 kvcached?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: KVarN trust report; kvcached trust report.