🚀 New features
- Added support for the Laguna XS 2.1 33B model by Poolside via TurboQuant llama.cpp — stronger results on multilingual coding and terminal-style tasks.
- TurboQuant support for llama.cpp on Windows and Linux gives you a bigger context window with lower memory usage, great for running agents on local models.
- VS Code, JetBrains and Xcode can now connect straight to your local server, with Base URL, key and model copied over automatically.
- We added our own quantized GGUF and MLX versions of Atomic Chat models to the catalog.
- New integration lets you detect, configure, and launch Zed (the fast Rust-based editor with a native AI agent panel) and Poolside CLI (a terminal agent built on the open ACP protocol), both pointed at your local server.
- Atomic Chat now auto-detects models you already have downloaded from Ollama, LM Studio, HF cache and Unsloth, so you can launch them instead of downloading them again.
- Ollama is now a built-in provider, so cloud and local Ollama models both show up and launch right away.
🔧 Improvements & fixes
- The inference server port is now configurable instead of hardcoded to 1337, and Atomic Chat falls back automatically if that port is already taken by another app (#115).
- Custom provider model listing is fixed — models from vLLM or a remote llama.cpp server were not showing up (#90).
- You can now drag the window around on macOS again (#98).
- Model load errors are clearer now, including specific messages when an architecture isn't supported.
- Sending a message to a failed model is blocked, with a red status shown instead.
- RAG no longer leaks project files into other chats and system prompts stay intact when tools are active.
- Manifest fetch and backend downloads no longer get stuck on Linux.
- The Windows agent installer is more reliable, with proxy support, a PATH refresh after install, GPU checks and clearer errors.
- The model hub got some polish: cleaner README rendering and your search and scroll position is kept when you go back.
- Plus 40+ other stability and UI fixes.
🙏 Contributors
Thanks to @yanalialiuk, @Vect0rM, @cashcon57, @danyurkin, @Albert-Atomic, @dtorey-d, @nuroctane, @caretak3r and @shrisha108 for their contributions to this release!