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Osaurus

Free MIT-licensed native Mac app running local models offline, with one shared memory across local and cloud models

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freeDR 20Free and MIT licensed with no subscription and no usage caps. Installed by .dmg download or brew install osaurus. Requires macOS 15.5+ on Apple Silicon. Using hosted models such as ChatGPT, Claude, or Gemini requires your own provider account and billing.View full pricing →

About Osaurus

Osaurus is a free, MIT-licensed, native Swift app for Apple Silicon that runs open models entirely on your Mac and adds hosted models only when a task genuinely needs them — with one shared memory carried across both, so switching from a local model to ChatGPT, Claude, or Gemini does not reset the context you have built up. That shared-memory design is the substantive differentiator over running Ollama or LM Studio directly, where each frontend keeps its own history. Setup is deliberately minimal: open the .dmg and launch with no account, then connect Ollama, MLX, or LM Studio in one click to get a model running on your chip, fully offline. Inference happens on the M-series chip, so there are no server round trips, and with Wi-Fi off it still works. Beyond chat it reads files, runs tools, and executes work — drop in a folder, assign a task, and it can read, write, and execute in your actual environment. It also builds autonomous agents rather than only chat sessions: voice control, folder watchers, browser plugins, and parallel jobs let local models keep working unattended. Privacy is absolute by design — no telemetry, no training on your data, no anonymous analytics, and nothing leaves the machine unless you explicitly send it. Installation is a download or brew install osaurus, requiring macOS 15.5+ on Apple Silicon. The project publishes blog posts, docs, skills, themes, and a brand kit, is built in public under MIT, and is operated by Osaurus, Inc.

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Key Features

✓Open models running entirely on Apple Silicon, fully offline
✓One shared memory carried across local and cloud models
✓One-click connection to Ollama, MLX, or LM Studio
✓Reads, writes, and executes against folders you assign
✓Autonomous agents with voice control, folder watchers, browser plugins, and parallel jobs
✓No telemetry, no training on your data, no analytics
✓Native Swift app, no account required

Osaurus Pros & Cons

✅ Pros

  • +Shared memory across local and cloud models is genuinely uncommon
  • +Works with the Wi-Fi off
  • +MIT licensed and free forever with no caps
  • +Native Swift rather than a web wrapper

⚠️ Cons

  • −Apple Silicon and macOS 15.5+ only
  • −Local model quality is bounded by your hardware
  • −Giving an agent folder read/write/execute access needs care

Who Is Osaurus Best For?

👤Mac users who need AI on confidential material
👤People who want to run open models without a terminal
👤Anyone building unattended local agents on their own machine

Tags

local aimacosprivacyopen sourceofflineagentsapple silicon
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