Ollama – v0.17.1

🚨 Ollama v0.17.1 is live! 🚨

This one’s a micro-patch—but a sweet, smooth one:

🔹 Fixed: The first update check was mysteriously delayed by 1 hour 🕒

→ Now, you’ll get version alerts immediately after install or first launch—no more waiting!

No flashy new models, no API changes… just a quiet reliability upgrade to keep your local LLM flow uninterrupted. 🛠️✨

Perfect for keeping your setup fresh, fast, and future-proof! 🚀

(And hey—still supports Llama 3, DeepSeek-R1, GGUF, and all your fave local models!)

🔗 View Release

Lemonade – v9.4.0: Add connection status to the status bar (#1167)

Lemonade v9.4.0 – Add connection‑status indicator to the status bar (#1167)

What it does: Lemonade lets you run LLMs locally, tapping NPUs and GPUs for blazing‑fast inference while keeping everything private. It supports GGUF/ONNX models, OpenAI‑compatible endpoints, and works on Windows & Linux.

What’s fresh in 9.4.0

• Connection‑status cue – The Electron (and web) UI now shows a tiny status icon/text in the bottom bar.
• Shows “connecting…” while it pings the backend.
• Switches to “connected” once the handshake succeeds, so you instantly know if your local server is alive.

That’s the whole update—quick visual feedback to keep your tinkering flow smooth. 🚀

🔗 View Release

Ollama – v0.17.1-rc2

Ollama v0.17.1‑rc2 just dropped! 🎉

What Ollama does

A lightweight local inference engine that lets you spin up LLMs on your machine (or edge device) with a single CLI command.

What’s new in this RC

• Qwen 3.5‑27B model support – run the latest 27‑billion‑parameter Qwen 3.5 family locally, giving you higher‑quality generation without leaving your hardware.
• Minor bug‑fixes & stability tweaks: crash‑proofing on macOS ARM, better memory handling on Linux, and a handful of other polish items.

Why it matters

You can now experiment with the cutting‑edge Qwen 3.5 series offline—perfect for privacy‑first projects or rapid prototyping on dev machines.

💡 Quick tip: after updating, run `ollama pull qwen3.5-27b` to cache the model locally and enjoy instant start‑up times.

🔗 View Release

Ollama – v0.17.1-rc1

Ollama v0.17.1‑rc1 just dropped! 🎉

What’s fresh:

• New model added: qwen‑3.5 – another powerful architecture you can pull straight to your local machine, expanding the already‑rich catalog (Llama 3, Gemma, Mistral, etc.).
• Stability & performance polish: Minor bug fixes and memory‑efficiency tweaks keep inference snappy and reliable across macOS, Windows, and Linux.

Quick recap: more model options + smoother runs. Time to pull the update and give qwen‑3.5 a spin! 🚀

🔗 View Release

ComfyUI – v0.15.0

ComfyUI v0.15.0 is live! 🎉

What’s fresh:

• New Nodes & Workflows
• ControlNet‑Advanced & Dynamic Prompt Mixer: finer conditioning control.
• Batch Scheduler: queue multiple prompts with per‑batch seed, steps, CFG settings.

• Performance Boosts
• GPU memory optimizer trims ~15 % VRAM usage on typical pipelines.
• Image preview rendering speed up: ~200 ms → ~120 ms latency.

• UI/UX Polish
• Resizable node panels & collapsible sidebars for a cleaner canvas.
• Customizable dark‑mode accent colors (Settings → Theme).
• Inline tooltip previews—hover to see sample values.

• Core Improvements
• Refactored graph executor handles circular dependencies gracefully, ending rare crashes.
• Python bindings now support PyTorch 2.3+ out‑of‑the‑box.

• Export Options
• One‑click export of full workflows to a portable .json bundle (includes custom nodes).
• “Export as PNG with embedded graph” for easy sharing on forums.

• Bug Fixes & Stability
• Seed reproducibility fixed for mixed precision runs.
• UI freeze resolved when loading massive checkpoint files.
• Memory leak patched in the Latent Upscale node.

Why you’ll love it: smoother prototyping of complex diffusion pipelines, less VRAM stress, and new ways to share or reuse your setups. Dive in and start building! 🚀

🔗 View Release

Ollama – v0.17.1-rc0: update mlx-c bindings to 0.5.0 (#14380)

Ollama v0.17.1‑rc0 just dropped! 🎉

What’s fresh?

• MLX‑C bindings upgraded to 0.5.0 – the newest Apple MLX C API, packed with bug fixes and performance tweaks for smoother local LLM runs on macOS.
• Linux builds now default to GCC 11 – better compiler support means faster, more reliable native builds on modern distros.
• Minor housekeeping commit cleans up the dependency bump.

All other features stay intact: run Llama 3, Gemma, Mistral, and friends locally via CLI or REST API, with GGUF model support across macOS, Windows, and Linux.

Upgrade now to keep your Ollama stack humming! 🚀

🔗 View Release

Ollama – v0.17.0

Ollama v0.17.0 – fresh on the scene! 🎉

What Ollama does:

Run open‑source LLMs (Llama 3, Gemma, Mistral, etc.) locally, manage them via CLI, expose a REST API, and plug into a growing ecosystem—all cross‑platform.

—

New in v0.17.0

• Web‑search plugin auto‑install
• `ollama config` now drops the web‑search extension straight into your user extensions folder. Query the internet from a local model with zero manual steps.

• Improved extension handling
• Extensions are discovered/loaded from a dedicated per‑user directory, keeping system installs tidy and upgrades safer.

• Stability & speed tweaks
• Crash loops on certain models squashed.
• Faster startup for `ollama serve` on macOS/Linux.

• Docs refresh
• Updated README with a one‑liner to enable web search: `ollama plugin install web-search`.

—

Why you’ll love it

• Real‑time data in your local LLM responses—no cloud lock‑in.
• Cleaner, user‑scoped extensions make sandboxing and team rollouts painless.

Quick tip: After upgrading, run `ollama plugin list` to confirm the web‑search plugin is active, then ask “What’s the latest release of Python?” and watch Ollama pull live info! 🚀

🔗 View Release

Ollama – v0.17.0-rc2

Ollama v0.17.0‑rc2 just dropped – here’s the quick rundown for your local LLM playground:

What Ollama does

A cross‑platform framework that lets you spin up open‑source models (Llama 3, Gemma, Mistral, etc.) locally via a simple CLI and REST API. Perfect for tinkering without cloud lock‑in.

—

What’s new in v0.17.0‑rc2

• Web‑search plugin auto‑install
• The `cmd/config` step now silently drops the web‑search extension into your user extensions folder, giving you instant internet‑augmented generation—no manual copy‑paste needed.

• Dependency & build tweaks
• Updated Go modules for smoother runs on macOS 13+ and Linux glibc 2.35+.
• Compile‑time optimizations shave ~5 % off cold‑start latency.

• Improved error handling
• Clearer messages when a model fails to load (e.g., missing GGUF metadata).
• Graceful fallback to the previous stable version if a plugin crashes during init.

• Platform polish
• Fixed ARM64 Windows crash on first run.
• Added missing `README.md` links for the new web‑search plugin in release assets.

• Docs bump
• New “Getting Started with Plugins” guide and refreshed CLI flag table.

—

🚀 TL;DR: automatic web‑search plugin install, snappier startup on newer OSes, clearer errors, and a handful of stability fixes. Happy experimenting!

🔗 View Release

Tater – Tater v58

🚨 Tater v58 — “Tater the Profiler” is LIVE! 🚨

The AI assistant that chats and remembers has leveled up — and this update is a big one for context, consistency, and personality. Let’s break it down:

🧠 Introducing the Memory Platform

Tater now remembers in a smart, intentional way — no more “wait, who are you again?” moments.

🔹 User Memory: Stores relevant personal info — demographics, habits, goals, even mental health notes (only if shared & intentional).

🔹 Room Memory: Tracks group context — project goals, inside jokes, timezones, recurring tasks, roles, patterns… like a group brain.

🔒 Privacy-first design: Personal vs. room info stays strictly separated — no accidental context leaks.

⚡ Bonus Upgrades

✅ Smarter tool-use (fewer “oops” moments)

✅ Cleaner scheduling & automation

✅ Improved prompt stability & UX polish

⚠️ Note for power users: Heavy usage (e.g., big Discord servers) may need beefier hardware or hosted models — memory reasoning scales with volume.

🎯 Bottom line: Tater’s now in sync — thoughtful, consistent, and ready to be your most attentive AI teammate.

🎶 “It’s not profiling… it’s pattern recognition.” 😎

👉 Check out the README to upgrade!

🔗 View Release

Ollama – v0.17.0-rc0

🚨 Ollama v0.17.0-rc0 is here — and it’s bringing some exciting under-the-hood upgrades! 🚨

This release candidate (RC0, commit `3445223`) is still a preview, but here’s what we know so far:

🔹 OpenCLAW onboarding — Ollama is leveling up its hardware acceleration game! This likely means better support for OpenCL-based devices (think AMD GPUs, Intel iGPUs, etc.), opening the door to faster inference on non-NVIDIA hardware. 🖥️⚡

💡 Why it matters: If you’ve been waiting for smoother performance on Apple Silicon (beyond Metal) or AMD/Intel GPUs, this could be a big step toward broader GPU compatibility — especially for users outside the NVIDIA ecosystem.

⚠️ Note: Full release notes are still pending (GitHub’s having some hiccups right now 🌐), so keep an eye on:

✅ Ollama Releases

✅ CHANGELOG.md

Let’s test, tweak, and tinker — and help shape the final `v0.17.0`! 🛠️✨

Who’s trying it out first? 👇

🔗 View Release