Own your AI. Agents that remember, execute code safely, and stay reachable from anywhere -- all on your computer. Any model. No cloud required. Open source.

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Models get commoditized. The harness compounds. Thanks @SarahPerezTC for the writeup.
Osaurus brings both local and cloud AI models to your Mac techcrunch.com/2026/05/15/os…
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I'm not playing around. Since releasing the beta yesterday, I've already added: - Persistent memory - Agent sandboxes (using WSL Containers) - Automations (folder watchers, scheduled tasks) - Bug fixes And there's lots more coming.
Osaurus Beta for Windows has support for WSL Containers on day one of its GA. Watch a local model safely experiment with python within a sandbox to generate a Mandelbrot fractal. Fully native, built for Windows with WinUI, C#, and .NET 10
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Osaurus Beta for Windows has support for WSL Containers on day one of its GA. Watch a local model safely experiment with python within a sandbox to generate a Mandelbrot fractal. Fully native, built for Windows with WinUI, C#, and .NET 10
WSL containers is now generally available msft.it/6014acIIa
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- Every agent gets its own home inside the container. One agent can't read another's files or the rest of your PC. - The container image is built on your machine from a Dockerfile. - API keys and other secrets never enter the conversation. They're injected into commands as environment variables and scrubbed from output. - Network is off by default for the sandbox, or limited to an allowlist you set per agent. Traffic goes through a host proxy that checks each address. - The agent can install packages (apk, pip, npm) and run long jobs in the background, with a Terminate button on the card.
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This is why we're building @OsaurusAI You own your data. You own your inference (choose between local/cloud) You don't have to worry about someone training on your data, even if they claim they aren't. With local AI, your data stays on your device.
Don't use this Build your own software using their tokens So when their tokens become too expensive You can switch to your own GPUs Your compute. That you control So you yourself can't be controlled You need to control your stack -- or you become enslaved
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Osaurus retweeted
Osaurus is now on Windows 11. Local models, private cloud access, and agents that can actually do things, built natively for your PC.
Osaurus is now on Windows 11. Local models, private cloud access, and agents that can actually do things, built natively for your PC. osaurus.ai/blog/windows-beta
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Osaurus is now on Windows 11. Local models, private cloud access, and agents that can actually do things, built natively for your PC. osaurus.ai/blog/windows-beta
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What's in the beta: • Run models locally, including our Raptor 0.6 • Use Osaurus Cloud credits for private access to frontier models, or bring your own keys • Pair with Osaurus on your Mac and share agents between them • Workspaces, across Mac and PC
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#design #ux #ai #localai I just had a great conversation with the founder of @OsaurusAI I’ve been following the evolution of the app since the beginning of the year. They built Raptor models, and the results are impressive. osaurus.ai
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Osaurus retweeted
Benchmarks measure what a model knows. Osaurus shows what it can do
Bonsai 2 dropped hours ago. It's already doing real work in Osaurus. Read two CSVs. Wrote the Python. Drew the chart. Then found the one channel losing money and told me why. 27B. Ternary. Nothing left the Mac.
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Osaurus retweeted
A little verbose for my taste, but absolutely gets the job done. Try out the ~6gb and ~8gb quants of Bonsai 2 27b on your Mac!
Bonsai 2 dropped hours ago. It's already doing real work in Osaurus. Read two CSVs. Wrote the Python. Drew the chart. Then found the one channel losing money and told me why. 27B. Ternary. Nothing left the Mac.
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Bonsai 2 dropped hours ago. It's already doing real work in Osaurus. Read two CSVs. Wrote the Python. Drew the chart. Then found the one channel losing money and told me why. 27B. Ternary. Nothing left the Mac.
Today, we’re announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use. Ternary Bonsai 2 27B is available today under Apache 2.0.
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PrismML said the big Bonsai 2 gains were agentic coding and tool use. This is what that looks like on a Mac. The model wrote the code, ran it in an isolated sandbox, and handed back a real PNG. Not a code block. A file. Weights, ready for Osaurus: huggingface.co/OsaurusAI/Bon…
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Osaurus retweeted
Local AI shouldn't be limited to expensive hardware. Everyone should have the opportunity to own their AI.
Raptor 0.6 just shipped. Most Macs have 8 or 16 GB. Most AI models pretend they don't. Raptor is our agent model built for those machines. Reads folders, checks spreadsheets, drafts emails. Local, free. 3.7 GB, down 41% from the last version.
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This will be coming to Osaurus for Windows as well. Not everyone has an RTX 30/40/5090. It'll open up local model usage for PCs with more common GPUs. You won't need a workstation to use local AI.
Raptor 0.6 just shipped. Most Macs have 8 or 16 GB. Most AI models pretend they don't. Raptor is our agent model built for those machines. Reads folders, checks spreadsheets, drafts emails. Local, free. 3.7 GB, down 41% from the last version.
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