jevos: an open-source alternative to Jev and Microsoft-Decision-1. Yes/no decisions, choices and scores with probabilities, on your laptop's CPU.
Edge AI GitHub Repositories (2026) · Open Source Tools
Discover the best Edge AI open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
Edge video infrastructure in Go for CCTV — RTSP ingest, HLS/WebRTC streaming, fMP4 recording, timeshift and AI metadata pipelines.
Run MoE models bigger than your RAM. Frontier-size MoE on a phone, laptop, edge. Lossless, on stock llama.cpp. An adaptive streaming optimizer. Any hardware, any OS, any model, any quantization, behind a local OpenAI-compatible server.
The open platform for AI on your cameras: a self-hosted NVR (ONVIF/RTSP, recording, WebRTC) running any AI model through one open contract, with an app SDK and one-click apps. New capabilities arrive as software, not new boxes. Air-gapped or connected, audited end to end. Home Assistant built in. AGPLv3. A Frigate/ZoneMinder alternative.
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.
Open-source, AWS-compatible cloud for bare-metal, edge and on-premise. Run existing AWS CLI, SDK and Terraform workflows against EC2, EBS, S3, VPC, IAM, EKS and RDS on your own servers.
Cross-platform on-device AI toolkit
Open-Source Personal Cloud OS for Always-On Agents
Your car as a chat-room agent: Raspberry Pi 5 + dashcam + local AI. CodeWatch's sibling for the garage.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
High-Performance server for NATS.io, the cloud and edge native messaging system.
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
LiteRT and LiteRT-LM sample apps, model recipes, agent skills and utilities.
On-device speech SDK for Android — ASR, TTS, VAD, and noise cancellation powered by ONNX Runtime with Qualcomm NNAPI acceleration
Local media studio for the Tiiny Pocket: desktop app (Windows, macOS, Linux) or Docker. Images, OCR & documents, chat with tools, voice, music, 3D
Offline AI research assistant for Android. Answers from Wikipedia and other reference packs on the phone, with citations. Gemma 4 runs on the Pixel 10's Tensor NPU (first word in about 2 s); other phones use llama.cpp. No INTERNET permission.