Related Products
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About
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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About
Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.
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Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Mac users and developers seeking to run private local AI models and autonomous agents that can access files, tools, memory, and workflows
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Audience
Developers and teams building AI agents, coding agents, browser automation, or applications that need to run generated code in hosted environments.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
$19/month
The Developer plan costs $19 per month plus metered compute charges based on vCPU and memory usage. The free tier includes a limited sandbox allowance and concurrency. Paid plans include higher concurrency and additional usage options.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationOsaurus
United States
osaurus.ai/
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Company InformationUnited States
www.ovrin.app/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Claude
Supported
Claude for Legal
Supported
ChatGPT
Supported
Cursor
Not Supported
Gemini
Supported
Gemini CLI
Not Supported
Git
Supported
Hardskills
Supported
LM Studio
Supported
Model Context Protocol (MCP)
Not Supported
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Integrations
Claude
Supported
Claude for Legal
Supported
ChatGPT
Not Supported
Cursor
Supported
Gemini
Not Supported
Gemini CLI
Supported
Git
Not Supported
Hardskills
Not Supported
LM Studio
Not Supported
Model Context Protocol (MCP)
Supported
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