edge-computing

High-Performance server for NATS.io, the cloud and edge native messaging system.

🚀 A fast WebAssembly interpreter and the most universal WASM runtime

Kubernetes Native Edge Computing Framework (project under CNCF)

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

TinyML AI inference library

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

A streaming multimodal database for Edge AI, and Edge Computing.

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

Edge Inference in Browser with Transformer NLP model

GuardianDB: High-performance, local-first decentralized database that stores and processes data, built on Rust and Iroh

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.

Explore LLM model deployment based on AXera's AI chips, It provides OpenAI‑compatible APIs and supports AX620E, AX650 and AX637 series chips.

AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.

OpenSceneSense Ollama is a Python library that harnesses AI for advanced local video analysis, offering customizable frame and audio insights for dynamic applications in media, education, and content moderation.

Edge-native AI API gateway — cost-optimized routing across providers, multi-protocol support, built on Cloudflare Workers.