Osaurus
Osaurus is a native AI harness for macOS that lets users run open models entirely on their Mac, connect cloud models when greater capability is needed, and carry shared memory across them. Built in Swift for Apple Silicon, it works fully offline with local models through Ollama, MLX, or LM Studio, keeping conversations, code, files, settings, agents, skills, and provider keys on the device unless the user explicitly chooses a cloud provider. A system-wide chat overlay provides quick access from any app, while separate agents can be created for coding, research, file organization, and other jobs, each with its own prompt, history, and memory. Osaurus distills past conversations into relevant facts, loads packaged skills when tasks require them, and gives agents scoped access to working folders, file search, Git, and other tools. Agents can run code in an isolated sandbox, delegate work to subagents, operate on schedules, respond to folder changes, use voice input, and generate images.
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LM Studio
Use models through the in-app Chat UI or an OpenAI-compatible local server. Minimum requirements: M1/M2/M3 Mac, or a Windows PC with a processor that supports AVX2. Linux is available in beta. One of the main reasons for using a local LLM is privacy, and LM Studio is designed for that. Your data remains private and local to your machine. You can use LLMs you load within LM Studio via an API server running on localhost.
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Atomic Chat
Atomic Chat is an AI-powered conversational platform designed to centralize and automate customer communication across multiple messaging channels, enabling businesses to engage, qualify, and convert leads through real-time interactions. It unifies conversations from platforms such as WhatsApp, Messenger, Instagram, and Telegram into a single inbox, allowing teams to manage all customer interactions efficiently while maintaining full visibility and control. It uses AI agents to handle conversations through text, voice, and even image inputs, providing human-like responses that can answer questions, qualify prospects, schedule appointments, and follow up automatically, 24/7. It supports automation of customer service workflows and sales processes, including lead scoring, re-engagement campaigns, and personalized messaging sequences that improve conversion rates and reduce manual workload.
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Jan
Jan is an open-source personal AI assistant designed to run locally on your device, giving you full control over your data and privacy. It allows users to interact with AI models without relying on cloud-based services or incurring API costs. The platform supports a wide range of models, including popular options from OpenAI, Anthropic, Google, Meta, and others. Jan provides a clean, user-friendly interface that makes it easy to chat, research, and complete tasks efficiently. It also includes real-time web search capabilities to enhance responses with up-to-date information. Users can customize their experience by selecting different models and integrating external providers. Jan is lightweight and optimized for performance, enabling smooth operation even on personal machines. It empowers users to build a private, flexible AI environment tailored to their needs.
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