Not so sure about the shadowban policy so i won't paste the github link but you can search Olares. It is an AI OS for one click AI deployment and more.
try if out if you wanted AI woven into the OS itself: the model runs on your machine, your files and chats never leave your walls, and the agent layer talks to the system natively instead of through a browser tab.
isolated container per run, no mounted secrets, vault at runtime, egress off. Open Source Olares (biased) runs agents as isolated workloads on your own hardware.
covers how to wire up the components to run a real-time voice agent that you can actually talk to via an ESP32 client, keeping the heavy lifting on your local machine.
This post summarizes WasmEdge's recent talks at OSSummit Korea and KubeCon NA 2025, focusing on its new role as a premier AI runtime. Key technical highlights include expanded multi-GPU support (NVIDIA, AMD, Apple), multi-backend inference (TensorRT, OpenVINO), and the use of Embedded Rust/Wasm for building real-time voice AI agents (EchoKit project).
The talk explores the idea that while human-centric languages like Python are popular for their ease of use, they are suboptimal for AI-driven development. Rust, with its strict compiler and strong type system, provides an excellent reward function and a tight feedback loop for LLMs, forcing them to generate correct, efficient code. This could make Rust the de facto language in a future where most code is written by AI. The video demonstrates this with a voice AI agent built with Echokit and Rust. the orignal tak is there https://www.youtube.com/watch?v=bbq0b_FpYEY
1⃣ Virtual Filesystem Security for Plugins
Secure WASM sandboxes by enforcing WASI APIs in plugins like WASI-NN. Prevent host filesystem bypasses while maintaining performance. Skills: C++, WebAssembly 13
2⃣ Port WasmEdge to IBM s390x
Bring AI/LLM inference to mainframes! Adapt the runtime and WASI-NN ggml backend for s390x, enabling enterprise-grade hybrid cloud deployments. Skills: C++, s390x, LLVM 13
3⃣ Cloud Testing with Kubernetes & Runwasi
Validate WasmEdge in multi-node K8s clusters. Design workflows for scalable AI inference and edge services. Skills: Rust, C++, GitHub CI
LlamaEdge on GitHub: https://github.com/LlamaEdge/LlamaEdge
Gaia on GitHub: https://github.com/GaiaNet-AI/gaianet-node
WasmEdge on GitHub: https://github.com/WasmEdge/WasmEdge
try if out if you wanted AI woven into the OS itself: the model runs on your machine, your files and chats never leave your walls, and the agent layer talks to the system natively instead of through a browser tab.