Tools tagged with "LM Studio integration"

AstrBot brings AI assistants into messaging apps such as Telegram, Discord, Slack, QQ and WeCom. It's an open source platform under AGPL-3.0 for people building personal companions, customer support bots or team automation. You can run it on your own computer or server, including through Docker, or use its desktop app for browser-style chat.

LLM is an Apache-2.0 command-line tool and Python library for sending prompts to local models and remote APIs. Local model support comes through plugins; cloud providers require their own API access. It can also connect to an arbitrary OpenAI-compatible Chat Completions endpoint, including LM Studio.

ThunderAI brings AI writing and email processing into Thunderbird for people who want help with their inbox while choosing where their messages go. It can use local models through Ollama or an OpenAI-compatible server such as LM Studio. Cloud connections send the selected content to ChatGPT, the OpenAI API, Google Gemini or Claude instead.

Semantic Kernel is an MIT-licensed SDK for developers adding AI agents to their applications. It supports local models through Ollama, LMStudio and ONNX, alongside cloud services such as OpenAI and Azure OpenAI. You choose the model backend. The SDK runs on Windows, macOS and Linux and supports C#, Python and Java.

Dyad turns a written idea into a working web app on your desktop. It's for people who want to build without starting from code, as well as developers who want to keep control of the result. The app requires no sign-up and runs on macOS and Windows. Your project files stay on your machine.

Obsidian Copilot brings AI agents into your vault to find notes by meaning, edit drafts and organize research. It's for writers, researchers and other Obsidian users who want AI to work directly with their existing notes. Agents create Markdown files, wikilinks and canvases that remain in your vault.

Playwright MCP lets AI agents control a browser by reading structured page information rather than interpreting screenshots. It's for developers building browser automation, exploratory tests or agent workflows that need to keep a browser session open across repeated actions. The server runs locally on macOS, Windows and Linux, or as a self-hosted service.

big-AGI is a browser-based AI workspace for researchers, developers and people who want to compare model answers before relying on them. Its Beam feature sends the same prompt to several models in parallel, without letting them see each other's replies. You can examine disagreements, then use Merge to combine the responses into a single answer with a preset or custom prompt.

Bolt.diy is a self-hosted AI coding assistant for people building full-stack Node.js web apps who want to choose their own model provider. It's a fork of Bolt.new, with a browser workspace and an Electron desktop app for macOS, Windows, and Linux. You can also run it through Docker.

Subtitle Edit is an MIT-licensed subtitle editor for Windows, macOS and Linux. It's for people creating captions, translating dialogue or fixing subtitles that don't match the video. Its core editing, conversion and video playback work offline on your device, with optional AI tools for transcription and translation.

gpt-oss is a pair of OpenAI reasoning models for developers who want to run a local LLM or host one on their own server. The models are open weight and licensed under Apache 2.0. OpenAI also has a hosted browser demo, separate from running the models on your hardware.

Interpreter reads Japanese text from game windows and displays English translations over your screen. It's built for people playing Japanese retro games, with MeikiOCR tuned for game text and pixel fonts. The default OCR and Sugoi V4 translation models run locally, so text stays on your computer and no internet connection is needed after setup. It's open source under the MIT license, with support for Windows, macOS and Linux.

Eclaire is a self-hosted AI assistant for notes, documents, photos, bookmarks and tasks. You can ask questions about saved material, inspect the sources behind an answer and ask the assistant to create notes or update tasks. Scheduled automations handle recurring requests such as a weekly task summary.