知らない分野を、原文にたどりつくまで芋づる式に掘る Claude Code のスキル
A native Sonic Adventure 2 port by static recompilation for Linux, Windows, and Android. Experimental source preview.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
Simple Linux Panel
Open-source multimodal retrieval engine (Morphik Core)
Full featured redis cache backend for Django.
Compresses linked and inline javascript or CSS into a single cached file.
Extensible memoizing collections and decorators
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
Persistent HTTP cache for python requests
A PyTorch-native inference engine with cache, parallelism, quantization and cpu offload for DiTs.
Redis for humans. 🌎🌍🌏
LLM KV cache compression made easy
[Neurips 2025] R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
NoSQL Redis and Memcache traffic generation and benchmarking tool.
A Python package for determining platform-specific directories (e.g. user data, config, cache, logs). Handles the differences between macOS, Windows, Linux/Unix, and Android so you don't have to.
Simple LRU cache for asyncio
A caching extension for Flask
vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm
A comprehensive, fast, pure-Python memcached client.
[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"
MapProxy is a tile cache and WMS proxy
Persistent, stale-free, local and cross-machine caching for Python functions.
Rate limiting using various strategies and storage backends such as redis, memcached & mongodb
Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a full web desktop + app store, and auto-clustering across the consumer hardware you already have (Orange/Raspberry Pi, Mac mini, gaming PC).
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
The httplib2 caching algorithms packaged up for use with requests.
GLM-5.3-Flash EXL3 on one 24 GB RTX 3090 + DDR4: elastic GPU expert cache, zero-copy experts, AVX2 CPU tier, OpenAI API
CDAF (Cached Descriptive Asset Files) - open sidecar format for video so AI agents stop re-analyzing the same footage. Spec, CLI, agent skill, reproducible benchmark.
面向 AI Agent 的高并发、低延迟上下文治理与 Prompt Cache 守护网关 (Tree-sitter AST / Tool Delta / 50%~80% Token 削减)
Refusal removal as a loadable KV-cache graft — zero weight modification, no refusal-direction projection, fully reversible.
Optimized SGLang runtime for Qwen3.8-27B FP8 with DFlash2 and Qwen3.8 Flash-Next NVFP4 with FR-Spec on one NVIDIA RTX PRO 6000 Blackwell 96 GB GPU (SM120): 524K context, HiCache and NIXL.
Pinned one-DGX-Spark Docker recipe for DeepSeek V4 Flash with EXL3, SparkInfer, and 262K NVFP4 MLA KV cache
Kill the tool-call tax: harness tool latency back below model TPS. Fast local lanes, persistent pools, session caches. Scratch lab turned real.
Heterogeneous prefill/decode for DeepSeek-V4-Flash: CUDA prefill (DGX Spark, vLLM) -> Metal decode (Mac Studio, oMLX) over plain 10GbE
—
DeepSeek-V4.1-Flash EXL3 on one 24 GB RTX 3090 + DDR4 + NVMe: staged-DMA prefill, AVX2 CPU expert tier, elastic VRAM expert cache, Engram on disk, OpenAI API
Claude Opus 5 API (claude-opus-5): model id, per-million-token pricing, cache write and cache read rates, streaming and Anthropic-style requests through an OpenAI-compatible gateway.
MiniMax-H3 multi-GPU inference acceleration: ~12x on 8x RTX 6000D (step distillation + SageAttention2 + Cache-DiT + torch.compile, TP2+Ulysses4 on sglang)
Lightweight FirstBlockCache acceleration node for native ComfyUI MiniMax H3
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
A Mini-vLLM optimization project for Qwen3-32B TP=2 serving, Prefix Cache, and Triton PagedAttention.
Mirai S (Qwen3.8-27B-S trellis GGUF) on a 12 GB RTX 4070: 262k q8_0 tiered cache, MTP drafting at every depth, harness-proofing, the layer; receipts.
Per-provider quota and rate limits in Hermes Desktop: a status-bar chip, a docked pane, the /quota command and a CLI — fed from a local cache, with no network I/O in the UI.
TELOS SDK: a cache-aware prompt protocol and gateway for portable agent context.
A better cache node for MiniMax H3 / 专为 MiniMax H3 优化的缓存加速节点
Real-time Breeze-TTS-2 streaming on Apple Silicon — RTF from ~4 down to ~1. mlx-audio 0.5.1's depth decoder recomputes each frame's existing acoustic codes instead of reusing its KV cache. Adds intra-frame KV reuse, one CPU read-back per frame, an optional compiled whole-frame path, and RTF/underflow stats.
Code for the paper "Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning" https://arxiv.org/abs/2609.03430
Reclaim the Intermediate, Binaries and cache folders your Unreal Engine projects and engines quietly hoard — without touching anything you authored.
自托管 IPTV 频道编辑器:多列表管理、M3U/TXT 订阅、台标库、EPG 与自定义短链接。
Hermes Agent context engine: the main model writes the compaction handoff on its cached prompt prefix