Rust-based FPS optimizer for games: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets. Lightweight, reversible, open-source performance tool for Windows.
Fortnite FPS Booster: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets for Fortnite on Windows. Lightweight, reversible, open-source performance optimizer.
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
JevBench by Benchmark Heaven: benchmark and leaderboard for AI decision models, measuring typed decision accuracy, calibration, latency and cost.
A low latency streaming STT / STT server to add a voice to your LLM. Also supports batch mode.
Low-Latency Accelerated Web Remote Desktop Streaming Platform for Self-Hosting, Containers, Kubernetes, or Cloud/HPC
Confucius4-R2T2: A Low Latency and High Accuracy Real-Time Speech Recognition Model
Low-latency collective transport and distributed LLM serving stack for switchless GB10 clusters.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
Tile-Based Runtime for Ultra-Low-Latency LLM Inference
Kill the tool-call tax: harness tool latency back below model TPS. Fast local lanes, persistent pools, session caches. Scratch lab turned real.
Splits your Wi-Fi from your ISP, hop by hop. Internet quality monitor plugin for Omarchy.
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
A high-performance ASCII video rendering engine featuring real-time WebSocket binary streaming and an isolated compiler for serverless static generation. Built for low-latency 30 FPS playback on HTML5 Canvas.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
[NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while maintaining accuracy.
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
Fun-Audio-Chat is a Large Audio Language Model built for natural, low-latency voice interactions.
A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026
AWS Inter-Region Latency Monitoring
Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.
Small decision models (jev style) for latency critical scenarios
Speakrail - a low-latency fully-local voice assistant that runs on a single RTX 4090
Confucius4-T3PO: a Low latency and High Quality Text-to-text Simultaneous Translation model via Pareto Policy Optimization
Sub-millisecond query routing & cost-aware execution for GraphRAG architectures. Adaptive-AtomRAG is a highly optimized conditional routing gateway designed to resolve the latency and cost bottlenecks of heavy Atom-Entity Graph (AEG) RAG systems.
A measurement-first lab for low-latency local camera inference with Glance.
Synthesizing real-time analytics and low-latency data synchronization seamlessly within the NexusEngine ecosystem.
Load and latency harness for Model Context Protocol (MCP) servers. Drives real tools/call traffic at configurable concurrency, measures latency percentiles and throughput, and fails CI when a server misses its performance budget. Stdlib-first, zero required dependencies for stdio.
Streaming speech recognition toolkit: log-mel features, CTC greedy and prefix-beam decoding, transducer-style frame-synchronous emission, forced alignment, Chinese/English CER-WER metrics, and a chunked streaming pipeline with latency accounting. NumPy core with a CPU-only torch extra; trainable demos on synthetic audio, fully offline.
Self-hosted multilingual (English + 5 Indic) phone voice agent template - LiveKit Agents + Sarvam STT/TTS + OpenAI + Vobiz SIP. ~700ms-1.2s latency, under Rs 5.5/min. Demo: a real-estate site-visit booking agent.
Low-latency, audio-native turn detection model using Whisper Tiny with a dual-scale attention classification head. Optimized for Hindi, Hinglish and Indian English, including fillers, incomplete thoughts and natural pauses. Includes causal training, hard-negative mining, calibrated endpointing.
The same HTTP API in 10 languages at 3 sizes, 30 implementations. Token cost for LLM agents, plus cold start, latency, throughput, CPU and memory. All measured, all verified over live HTTP.
Give Vercel AI SDK agents a real persistent filesystem with Amazon S3 Files.
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
X2Streaming-ASR is a streaming Automatic Speech Recognition (ASR) system characterized by ultra-low latency and high accuracy.