Lemonade – v10.5.1

🍋 Lemonade SDK v10.5.1 is officially here!

If you’re obsessed with running high-performance LLMs locally without relying on the cloud, this update is a must-have for your toolkit. Lemonade is all about squeezing every bit of power out of your hardware—specifically leveraging NPUs and GPUs (via Vulkan) to make local inference snappy and responsive.

This latest release focuses on keeping your backend integrations rock-solid as the underlying engines evolve:

• llama.cpp Upgrade: The SDK now supports `llama.cpp` build b9213. If you rely on high-performance C++ inference for your GGUF or ONNX models, this is a huge win for stability and speed! 🚀
• AMD/ROCm Optimizations: For my fellow AMD enthusiasts pushing the limits of Ryzen AI or Radeon hardware, we’ve got critical compatibility updates:
• `rocm-stable` has been bumped to build b9211.
• `rocm-nightly` has been updated to build b127.

Time to pull the latest version and keep those local models running smooth! 🛠️

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Ollama – v0.30.0-rc20

Ollama just dropped v0.30.0-rc20, and it looks like a quick but important fix for the AMD crowd! 🛠️

If you aren’t using Ollama yet, it is the ultimate framework for running powerful LLMs like Llama 3, DeepSeek-R1, and Mistral locally on your own machine. It handles all the heavy lifting of downloading and configuring models so you can focus on building.

What’s new in this release:

• ROCm Build Fix: This update specifically addresses a “cache miss” issue encountered during the ROCm build process.
• Better Stability for AMD Users: If you are running LLMs on AMD hardware, this patch helps ensure your build process is much more reliable and efficient.

If you’ve been tinkering with local models on an AMD GPU, definitely grab this release candidate to keep your environment running smoothly! 🚀

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Ollama – v0.30.0-rc19

Ollama v0.30.0-rc19 is here! 🛠️

If you’ve been looking for a way to run heavy-hitting models like Llama 3, DeepSeek-R1, or Phi-4 directly on your own hardware without relying on the cloud, Ollama remains the gold standard for local LLM orchestration. It handles all the heavy lifting of model downloading and configuration so you can get straight to prompting.

This latest release candidate (rc19) is part of the ongoing push to refine the local inference experience. While we are still waiting on the full granular changelog for this specific RC, these incremental updates typically focus on:

• Performance Tweaks: Optimization for smoother inference speeds across macOS, Windows, and Linux.
• Stability Fixes: Polishing the REST API and CLI to ensure seamless integration with your custom dev workflows.
• Model Compatibility: Refinements to GGUF support and memory management when swapping between large models.

Keep an eye on this space—as soon as the full breakdown of these specific bug fixes hits the repo, I’ll let you know exactly what’s under the hood! 🥔✨

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Ollama – v0.30.0-rc18

Ollama v0.30.0-rc18 🛠️

If you’re running local LLMs, you know Ollama is the go-to for getting models like Llama 3, DeepSeek-R1, and Mistral up and running on your own machine with zero friction. It’s a powerhouse for anyone wanting to experiment with open-source models privately and locally.

This latest release candidate is a quick version bump, keeping the momentum going as the team polishes the latest features for the upcoming stable release!

What’s new:

• Version Bump: This update moves the needle to `v0.30.0-rc18`, focusing on stability and preparing the codebase for the next major milestone. 🚀

Keep an eye on this one—RC updates are usually where we see the final bug squashing before a big rollout!

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Tater – Tater v80

🥔 Tater v80 — “Wake Word Wars” is here! 😏🎙️

The Tater ecosystem just leveled up from a simple tool to a full-blown laboratory for voice activation! This update turns your local AI setup into a modular powerhouse, allowing you to mix and match different wake engines across all your satellites.

What’s New:

• Multi-Engine Support: You can now run `microWakeWord`, `openWakeWord`, and the brand new `NanoWakeWord` all within the same ecosystem. The best part? You can switch between them live via firmware entities without breaking a sweat. 🎙️
• Dedicated NanoWakeWord Server: We’ve added a standalone server for NanoWakeWord! It includes Docker/NVIDIA Docker support and dedicated WebSocket streaming.

Pro-tip:* Use this to stream audio from your satellites to a separate backend, offloading the heavy processing from your main Tater app! 🛰️

• NanoWakeWord Trainer: For the true tinkerers, there is now a dedicated training flow. It features synthetic sample generation, validation handling, and seamless ONNX + PyTorch model syncing. You can build and deploy your own custom models directly into the ecosystem. 🏋️
• openWakeWord Cleanup: We’ve dialed back the noise by making diagnostic detection logging optional and disabling it by default. Your logs will finally stop screaming at you! 🔧

The Big Picture: 🧠

Tater is officially modular. Whether you want local detection, remote detection, or a custom-trained model running on a dedicated server, you can now build a highly customized, distributed voice ecosystem. We didn’t just add an engine; we started a collection!

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Tater – Tater v79

🥔 Tater v79 — “Like It’s 2023 Again” 🎙️

The local-native AI powerhouse Tater just dropped a massive update that transforms your hardware satellites from isolated voice boxes into a fully interconnected intercom system! If you’re running your own Hydra-powered stack via Ollama or LM Studio, this is the upgrade your smart home ecosystem has been waiting for.

The Big Highlights:

• Pick Your Fighter: You can now switch between `microWakeWord` and `openWakeWord` live on VoicePE, Satellite1, and S3Box firmware. No more painful reflashing or rebuilding—just tweak wake engines and audio settings directly from Live Entities!
• Built-In openWakeWord Server: Tater now hosts its own local detector (`/api/openwakeword/detect`) with ONNX runtime support. If your remote OWW server goes down, your satellites can automatically fall back to `microWakeWord` for seamless reliability.
• Intercom Mode: A total game-changer! Use your satellites as a true intercom system to move voice between rooms seamlessly. The satellites are now smart enough to coordinate sessions, ensuring no more “shouting matches” where every device tries to talk at once. 🗣️
• Standalone OWW Server: For those who want a decoupled setup, a new standalone server is available with CPU/NVIDIA Docker support and easy GitHub Actions builds.

Firmware & Management Upgrades:

• Firmware v2.0.0: Major firmware stacks (VoicePE, Satellite1, S3Box Display) have been bumped to v2.0.0.
• Proactive Updates: The Dashboard can now detect outdated devices and route you directly to the Firmware UI. You can update individual devices or hit “Update All” to keep your fleet current without any 2 AM surprises. 🛠️

This release effectively moves Tater from a group of standalone gadgets to a unified, intelligent voice assistant ecosystem!

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Lemonade – v10.5.0

🍋 Lemonade SDK v10.5.0 is officially here!

If you’re obsessed with squeezing every bit of performance out of your local hardware, this update is a must-have for keeping your inference engines running smoothly and in sync with the latest drivers. 🚀

What’s new in this release:

• llama.cpp Engine Boost: The core engine has been bumped to build `b9174`. This brings updated compatibility tweaks and performance optimizations for running those heavy GGUF models locally.
• AMD/ROCm Refresh: We’ve updated both `rocm-stable` (build `b9174`) and `rocm-nightly` (build `b126`). If you’re leveraging AMD hardware or the Ryzen AI series, this ensures your SDK stays perfectly aligned with the latest ROCm driver builds.

Keep those local LLMs humming! 🛠️

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Tater – Tater v78

🥔 Tater v78 — “Tater Can Read the Room Now” 👀🎙️

The local-native AI powerhouse just got a massive brain and sensory upgrade! Tater is moving beyond being a standalone assistant into a fully distributed, sensing environment that can coordinate across your entire network.

What’s cooking in v78:

• 🎙️ Multi-Satellite Voice & Remote Playback: Say goodbye to isolated devices. You can now talk into a satellite in the kitchen and have Tater’s response play through a Sonos speaker or another satellite elsewhere in the house. It’s seamless, cross-device audio coordination!
• 😐 Emotion ID: Using SpeechBrain, Tater can now detect emotional tones, mood, and vocal energy. These “emotional hints” are fed directly into prompts, allowing Tater to adapt its personality to match your vibe. 🎭
• 🖥️ S3Box Display Platform: New support for the ESP32-S3-BOX-3! Using LVGL UI, these tiny terminals can now show voice animations, sensor bubbles, and camera snapshots via a brand-new Display API.
• 🧠 Revamped Dashboard & Awareness: The dashboard has a fresh Tater-orange glow-up. You can now monitor system health, scheduled briefs, and real-time camera snapshots in one centralized hub. 📊
• ⚡ Infrastructure & Firmware Upgrades:
• Easier Flashing: A new Firmware Manager makes browser/USB flashing much smoother (less “bricked” anxiety!).
• Hugging Face Integration: Manage HF tokens and access gated/private models directly within the app.
• Environment Core: Better support for Ecobee and Ecowitt sensors for smarter, temperature-aware automation.

🛠️ Coming Soon: The groundwork is officially laid for custom wake words! We’re moving toward a future where you can train and select your own unique triggers directly within the firmware tools. 🚀

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Crankboy App – Release v2.0.2

Get your handhelds ready because CrankBoy just dropped a fresh patch! 🕹️

If you haven’t tried this yet, it’s a high-performance Game Boy emulator specifically tuned for the Playdate console. It handles everything from full-speed emulation and automatic save states to downloading cover art and applying patches (.bps, .ips, .ups) on the fly. You can even bundle ROMs to launch them straight from your Playdate menu!

What’s new in v2.0.2:

• Stability Tune-up: This is a maintenance-focused release designed to smooth out wrinkles in the code. 🛠️
• Bug Fixes: The update focuses on essential fixes to ensure much more reliable performance and stability during your emulation sessions.

It’s a quick, essential polish to keep your retro gaming experience running buttery smooth! 🚀

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Micro Wake Word Trainer Apple Silicon – v4

🥔 Tater Voice Trainer v4 — The “Real World” Update is here! 📡

If you’ve been training wake words on your M1, M2, or M3 Mac for Home Assistant, get ready—this isn’t just a patch; it’s a complete overhaul that turns your workflow into a continuous, closed-loop system. No more guessing with synthetic data; you can now train your models using actual audio captured directly from your hardware!

What’s New in v4:

• Live Audio Pipeline: Stream real-world data (hits, false wakes, and “near misses”) directly from your VoicePE or Satellite devices into the trainer. This means training on your specific microphone and local background noise for much higher accuracy. 🎤
• New Studio UI: A streamlined, tabbed interface makes management a breeze:
• Trainer: Manage languages and sample counts.
• Captured Audio: Instant review of incoming clips.
• Samples: Easy management of positive and negative training sets.
• Firmware: Build and flash directly from the UI.
• Advanced Negative Training: You can now explicitly mark “false wakes” as negative samples. This is a huge win for reducing those annoying false positives in your smart home setup. 🧠
• Integrated Firmware Workflow: The loop is officially closed! You can build and flash updated firmware for your devices directly from the Trainer UI, including support for OTA (Over-the-Air) flashing and live console logs. 🛠️

This update transforms the tool from a simple script into a full-scale development environment. Build, capture, refine, and flash—all in one place!

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