Osaurus is a macOS native Swift harness for AI agents that runs offline on Apple Silicon, offering memory, tools, identity, and MCP server capabilities. It supports multiple providers, local and cloud models, and a plugin/registerable tool ecosystem.
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What it is
Osaurus is the AI harness for macOS written in Swift. It runs fully offline, supports local and cloud models, and provides agents with memory, tools, and cryptographic identity. It includes an MCP server and plugin/registry mechanisms.
How it works
The project exposes an interface between users, agents, memories, and tools. It supports local models from a curated MLX-based library, Apple Foundation Models on macOS 26+, and cloud providers. It includes features like private local databases, self-scheduling for agents, a sandboxed Linux VM for agent execution, memory consolidation, privacy filtering, a secure channel for agent communication, and a relay to expose agents via secure WebSocket tunnels. It also offers subagents, a built-in browser per agent, and image generation capabilities, with plugin support and an MCP stdio bridge.
Getting started
Install:
brew install --cask osaurus
Or download the latest .dmg from Releases. After installing, launch from Spotlight or the CLI:
osausurus ui # Open the chat UI
osaurus serve # Start the server
osaurus status # Check status
Requires macOS 15.5+ and Apple Silicon.
Recent releases
Latest release: 0.22.16 Osaurus 0.22.16 (2026-08-04):
- chat import improvements (#2251) by @RaajeevChandran
- Add optional shadow style for chat input (#2256) by @hkay-dev
- Repin vMLX to the disk-store offset guard (#2276) by @jjang-
- wa-helper-v0.2.3 osaurus-wa helper v0.2.3 (2026-08-04): WhatsApp Web bridge helper for the Osaurus WhatsApp channel.
Changes since v0.2.2 include various fixes and repins.
Traction
Stars: 7514 Forks: 428 Open issues: 152
Behind the repo
Not provided in the excerpt.
Caveats
License: MIT Created: 2025-08-17 Last push: 2026-08-04 Platform note: macOS 15.5+ and Apple Silicon required.






