Just got your EchoKit? Or thinking about getting one?
For the next 30 days, we’ll share small, practical steps to help you:
Set up your EchoKit, Discover its hidden powers, Learn how to customize , See real examples, Build use cases that fit your life.
#EchoKit30Days
Got 93 builders registered for tommorow's Taipei Agent Night meetup (June 4th, 6:00 - 9:00 PM). The energy is going to be unmatched.
We cover:
-Agents that act: OpenClaw, NemoClaw, and the robotics-meets-LLM scene.
-Agents that talk: Voice-first open stacks (EchoKit) you can interrupt and argue with.
-Agents that build: Coding agents and hardware like VibeKeys.
-The harness around them: Tools, memory, and self-evolution loops.
Expect live demos you can poke at (and probably break), plus hallway conversations you won't get anywhere else.
🎙️ The Speaker Lineup:
Kris Murphy @NVIDIAAI: Deep dive into Nvidia's Open Source AI (NemoClaw, OpenShell, Nemotron).
Michael Luo @luocompute@Olares_OS: Running your own AI datacenter on your desk with the RTX 5090M Olares One.
Michael Yuan @juntao@Docker Captain: Safeguarding agents and isolating tools with Wasm, containers, and NanoClaw.
Hydai @hydai_tw@secondstateinc: Interacting with AI agents via EchoKit.
HsinHo Yeh (Footprint AI): AI-native infra and Linux environments for agents using Containarium.
Alex Lau: Building MoJoAssistant and the scaffolding between models and the real world.
Grab one of the final spots here: luma.com/soczn0pg
If you are Taipei this evening, come to our AI agent meetup! Learn about what’s announced at Computex and their implication for open source!
luma.com/soczn0pg
PS. We have free Taiwanese fried chicken sponsored by @Docker
Tired of signing up everywhere just to test AI video?We put Grok, Seedance & Google Veo all in one place.
Same prompt. One platform. You pick the winner.
Sign up free — get $10 credit to start.
How to get started:
To generate videos with grok-imagine-video-1.5-preview, you'll need a reference image first.
Use gpt-image-2 or nano-banana-2 to generate one — then pass it directly into the video model.
The best part? Your Token Station key works for all of them. One account. One credit balance. No switching.
Max out your #NVIDIA#DGXSpark with Olares OS.
Don't waste hours on environment configs. #Olares turns your Spark into a dedicated personal AI cloud.
Enjoy fast AI model deployments, out-of-the-box secure routing, and effortless VRAM management.
Check out the docs for full details: 👇
docs.olares.com/1.12.5/manua…
DGX Spark owners rejoice! Olares OS is now available on @NVIDIA_AI_PC ’s DGX Spark! It comes with a sophisticated sandbox system an App Store for containerized AI apps, that fully utilize your GPUs. Run multiple AI agents & local models securely & efficiently on your Spark!
Digital employees in our Singapore office. Each is an AI agent with a specific set of skills & knowledge — product manager, marketing / growth manager, front-end / backend developer — you name it!
At the center is the @Olares_OS device with local GPUs. Interested? DM me!
We are making these little Clawd as fast as we can to meet demand for the physical Claude Code keyboard / remote control.
Early customers also get to engrave their custom message / motto on the case.
Get yours 👇
vibekeys.dev/vibekeys-max.ht…
You bought a $4,000 computer with a powerful GPU. Your goal is to set up Agent Harness that can learn from you and get better at YOUR tasks over time. That harness includes local AI models, cloud APIs, data collection, knowledge mgmt, RL infra (eg. autoresearch), finetuning tools & skills / CLI tools. But there is one problem:
The AI agents are fundamentally non-deterministic and must be sandboxed. But existing sandbox solutions lack ready-to-use agent harness, especially for GPU workloads.
I am thrilled that the open source @Olares_OS released support for DGX Spark today! It features a container system that fully utilizes the GPU. It comes with many applications, agents, and harness pre-configured and can be installed with one-click.
Try it on your Spark today: blog.olares.com/olares-relea…
The open source repo: github.com/beclab/Olares
Huge congratulations to our R&D lead, @WasmEdge maintainer, @CNCFAmbassadors Hung-Ying @hydai_tw, on winning the 2026 @CNCF Outstanding Mentor Award at KubeConEU! 🏆 @KubeCon_
Hydai’s exceptional work in the LFX Mentorship program has guided dozens of mentees through critical
cloud-native projects: from WASI-NN and LLM fine-tuning to complex compiler optimizations. We are incredibly proud of his dedication to growing the next generation of #OpenSource developers! cncf.io/announcements/2026/0…
Python is for AI research. Rust is for AI production.
We created a complete Rust impl of tiny TTS models (15M-80M) from @divamgupta 10 MB binary, 100ms cold start, CPU-only, edge-ready.
🐱🦀 github.com/second-state/kitt…
CPU runs KittenTTS at 4x real-time, but Apple's GPU only hits 3x. @claudeai told us why: at this model size, GPU dispatch overhead exceeds the compute savings. ONNX's CPU backend with SIMD already saturates the hardware. Below ~1B params, the GPU loses.
Full story 👇