Havuz
Takip ettiğimiz konularda yükselen açık kaynak projeler — yıldız ivmesi, gerçek geliştirme aktivitesi ve AI değerlendirmesiyle.
Yalnız hareketli, son 28 günde commit almamış repoları gizler (yıldızı olan ama bırakılmış projeler). Commit sayısı henüz ölçülmemiş repolar da gizlenir.
EtiketTüm GitHub etiketleri — repo sahiplerinin koyduğu topic'lergöster
Etiketler yükleniyor…
- 1
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous
3,7/gün ort. +0 son gün — commit Python 05 Haz 2026 güncellendi 25 gün önce - 2
KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Cal
3,2/gün ort. +0 son gün — commit Python 29 May 2026 güncellendi 22 Haz 2026 - 3
LLM inference with 7x longer context. Pure C, zero dependencies. Lossless KV cache compression + single-header library.
1,8/gün ort. +0 son gün — commit C 28 Mar 2026 güncellendi 26 Nis 2026 - 4
An AI-native distributed data plane built in Rust that supports high performance RPC, KV Cache, Message Queue, and File & Object Acceleratio
0,9/gün ort. +0 son gün — commit Rust 12 Haz 2026 güncellendi 6 gün önce - 5
TurboQuant KV cache compression for MLX with fused Metal kernels. 4.6x compression at 98% FP16 speed.
0,5/gün ort. +0 son gün — commit Python 28 Mar 2026 güncellendi 30 Nis 2026 - 6
CPU-first LLM inference server on llama.cpp. Runs useful models on free-tier ARM boxes; rewriting the input made it ~6x faster and more accu
0,9/gün ort. +0 son gün — commit C++ 06 Tem 2026 güncellendi 23 gün önce - 7
Extreme weight + KV cache compression for LLMs on Apple Silicon (MLX implementation of Google's TurboQuant)
0,4/gün ort. +0 son gün — commit Python 06 Nis 2026 güncellendi 4 gün önce - 8
First open-source implementation of Google TurboQuant (ICLR 2026) -- near-optimal KV cache compression for LLM inference. 5x compression wit
0,4/gün ort. +0 son gün — commit Python 25 Mar 2026 güncellendi 25 May 2026 - 9
This project aims to provide a high effective KV cache manage framework for llm inference and improve memory utilization and inference speed
0,3/gün ort. +0 son gün — commit Python 08 Mar 2026 güncellendi 24 Nis 2026 - 10
Soul: The Persistent Memory Layer for Multi-Agent Systems. High-performance session orchestration with SQLite-based KV-Cache for MCP. Give y
0,3/gün ort. +0 son gün — commit TypeScript 08 Mar 2026 güncellendi 5 gün önce - 11
llama.cpp fork with TurboQuant quantization (turbo2/3/4) and TriAttention GPU-accelerated KV cache pruning. 75 tok/s on Qwen3-8B / RTX 3080.
0,3/gün ort. +0 son gün — commit C++ 08 Nis 2026 güncellendi 02 Tem 2026 - 12
Semantic retrieval for AI agents: high-recall memory and code search that cuts coding-agent token usage by nearly 50%
0,4/gün ort. +0 son gün — commit C++ 15 Haz 2026 güncellendi 13 Ağu 2026 - 13
TurboQuant KV cache compression plugin for vLLM — asymmetric K/V, 8 models validated, consumer GPUs
0,2/gün ort. +0 son gün — commit Python 26 Mar 2026 güncellendi 10 Nis 2026 - 14
TurboQuant MLX: Flagship high-performance model quantization for Apple Silicon. Squeeze maximum inference speed and memory efficiency out of
0,2/gün ort. +0 son gün — commit Python 25 Mar 2026 güncellendi 05 Ağu 2026 - 15
Agentic Runtime
0,3/gün ort. +1 son gün — commit Go 21 Haz 2026 güncellendi bugün - 16
First open-source TurboQuant KV cache compression for LLM inference. Drop-in for HuggingFace. pip install turboquant.
0,2/gün ort. +0 son gün — commit Python 25 Mar 2026 güncellendi 28 gün önce - 17
Zero-config local LLM optimization for Ollama, LM Studio, and Apple Silicon MLX. Reduces TTFT by 40%, wall time for local agents by 46%, and
0,2/gün ort. +0 son gün — commit Python 20 Mar 2026 güncellendi 9 gün önce - 18
qMLX: Custom inference engine for Qwen 3.5 122B on Apple Silicon, extending MLX with hybrid attention support, SSD-backed KV cache, and RYS
0,3/gün ort. +0 son gün — commit Python 09 Tem 2026 güncellendi 4 gün önce - 19
Proxima lets existing GPUs serve 4x more concurrent requests
0,3/gün ort. +0 son gün — commit Python 01 Ağu 2026 güncellendi 19 Ağu 2026 - 20
Why is LLM inference slow — and how do you make it fast? A hands-on, first-principles course: roofline → KV cache → quantization → paralleli
0,2/gün ort. +0 son gün — commit Python 30 Haz 2026 güncellendi 11 Ağu 2026