kvmem/kvmem-llama.cpp
About the project
A llama.cpp port with tiered KV memory: a bounded GPU KV working set, host-RAM storage and query-based retrieval of relevant blocks. Runs Qwen3.8-27B with a 256K logical workspace on 16 GiB VRAM for long-running agent sessions.
Useful for
- Run a local OpenAI-compatible server with Qwen3.8-27B and a 256K context on a 16 GiB GPU
- Drive a long agent session with tools, keeping history in host RAM and retrieving relevant blocks
- Benchmark decode and prefill on your own NVIDIA GPU and compare with the RTX 5060 Ti
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 65 stars so far today, about 86 expected by the end of the day.
- Over the last two days the pace is 8.4× that of the previous week and a half.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 4 days old and already has 178 stars.
- Top new repositories this week: #63.
- About 7 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 178
- Stars in a day
- 86
- Forks
- 12
- Issues and pull requests
- 6
- Watchers
- 6
- Language
- C++
- Latest release
- v0.16.0-rc1 · September 16, 2026
- Created
- September 14, 2026
- Last push
- September 17, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026Top new repositories this week: #62
- September 17, 2026Top new repositories this week: #141
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