Havuz

Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how

An agentic system that auto-optimizes LLM workloads on AMD GPUs.

Kyojin: open-source engine that runs the largest open models on one mini PC or one graphics card, about 2× faster than llama.cpp. AMD (ROCm)

Run any local LLM engine, auto-tuned to your GPU — polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine

Agent Mesh

🧱 Experimental library for building inference engines

Reef, agent isteklerini sunma, feedback toplama, öğrenme döngüsü yürütme ve kabul edilen güncellemeleri sürümleyerek dağıtma işlevlerini bir araya getiren Python altyapısıdır.

Neden yükseliyor · Sürekli öğrenen agent'lar gündemde ve Reef, inference'tan feedback'e, eğitimden sürüm dağıtımına uzanan altyapıyı tek projede toplamayı hedefliyor. Verilen ölçümlerde 28 günde 6.122 yıldız, 362 commit ve 19 farklı yazar güçlü ilgi ve geliştirme faaliyeti gösteriyor; ancak bu veriler tek başına üretim kullanımını veya teknik başarıyı kanıtlamıyor.

From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible us

A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interf

Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.

Local inference for diffusion language models (LLaDA, Dream), written in Mojo

Run MoE models bigger than your RAM. Frontier-size MoE on a phone, laptop, edge. Lossless, on stock llama.cpp. An adaptive streaming optimiz

Your AI intranet: network the computers you already own for inference and training.

pooled, birden fazla cihazın tarayıcı GPU’larını WebRTC üzerinden birleştirerek büyük open model’leri birlikte çalıştırmasını sağlayan bir LLM inference projesidir.

Neden yükseliyor · 27 günlük yaşına göre 461 yıldız ve son 28 günde 90 commit güçlü bir erken ilgi ve geliştirme temposuna işaret ediyor. Tarayıcıdan katılımla cihazları birleştirme fikri, yerel inference ve donanım paylaşımı ilgisini çekebilir; ancak yalnızca 2 farklı yazar olduğundan aktivite geniş bir katkıcı topluluğunun kanıtı değil. İlginin nedenini kesin olarak belirlemek mümkün değil.

Camelid: a Rust-native local inference backend with evidence-gated model compatibility.

An open-source inference engine for AI functions in SQL

Qwen3.8-Flash-Next (125B MoE) up to 1M context on one or two RTX cards (tuned on 3080 10gb). A measured, tuned and benchmarked fork of Str

⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache co

The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLL

ModelSphere is an open-source LLM inference infrastructure designed to make production-grade model serving simple, efficient, and continuous

Bilingual English and Mandarin text to speech in C++ and GGUF. Voice design, cloning, direction and experimental voice conversion. Vulkan ba

Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine f

NeMo-Speech.cpp is a lightweight C++ inference runtime for Speech models

Benchmark local LLM serving by replaying real agent trajectories

ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenC

Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime

llama.cpp fork that abliterates at inference

Inference-native Tokenmaxxing Agent Harness for Loop Engineering

Entrpi/ds4, a Blackwell CUDA perf fork of antirez/ds4 on NVIDIA DGX Spark: one-command install, ~3x upstream prefill, ~1.5x decode, DSpark,

Ultrafast Qwen3-TTS: sub-50 ms time-to-first-audio at 10 requests per second.

Provider-pluggable orchestration runtime for multi-model AI inference. ( Sakana Fugu style )

Evidence-aware on-prem LLM inference sizing and TCO calculator

Frontier: A Discrete-Event Simulator for Modern LLM Serving

Feel how fast a local LLM runs before you buy the hardware

Tree-based speculative decoding for Apple Silicon (MLX). ~10-15% faster than DFlash on code, ~1.5x over autoregressive. First MLX port with

AI inference, packed simply. A blazing-fast, zero-dependency WebGPU runtime to run GGUF models directly in the browser. Features a symmetric

ScribeCrate: open-source, self-hosted Whisper speech-to-text server powered by faster-whisper. OpenAI-compatible transcription and English t

Open-source control panel for the real llama.cpp: see where a model lands in your VRAM before loading, every llama-server flag per model, on

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

Zero-leak online detection of LLM decoding corruption and Free Web Search for your AI agents! Catch repetition loops, language drift and gar

AI inference gateway and control plane for multi-provider routing, policies, caching, tools, and observability.

Self-hosted vLLM made simple. Git-friendly YAML for models and profiles, full lifecycle from an intuitive CLI and TUI.

Run a 110B on a 2016 PC with 16 GB RAM. Know your tok/s before you download. Placement beats budget: predicts speed + memory fit for any GGU

⚡ Ultra-Reliable AI Inference Gateway & Verifiable Agent Control Plane. Dual-Dispatch, Zero-Token JSON Auto-Healer, VaaS On-Chain Attestatio

Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment

Open-source self-hosted home AI inference platform for AMD Strix Halo — multi-backend slots, OpenAI-compatible gateway, Vue 3 + FastAPI + sy

Distributed LLM inference fabric for heterogeneous local clusters. Features zero-copy SPSC ring buffers, automated tuning, and an OpenAI-com

The htop for LLM inference see exactly where every GB of VRAM goes and get measured quantization savings.

JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.

CPU-only, pure-Rust implementation of LiquidAI's LFM2.5-8B-A1B LLM