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BRIDGE1 · MACOS EARLY ACCESS
Install Bridge1, choose a coding model and copy your client setup for local inference on macOS.

Install Bridge1, choose a coding model and copy your client setup. The app prepares MLX or llama.cpp and checks memory before loading, so the first task is your code rather than engine flags. Version 0.7.8 is a universal disk image, signed with a Developer ID certificate, notarized by Apple and stapled. Apple Silicon is recommended. Intel is untested.
Early access is invite-only. Request an invite to replace recurring model-server setup with a managed local coding session.
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Open the disk image and drag Bridge1 into Applications. Open it from there.
Enter the invite code if the app asks for one. Activation sends a random device identifier and the code. No email address is needed.
Choose a model from the catalog. Bridge1 downloads its pinned files and prepares its engine.
On macOS, starting Bridge1 from Applications can set up the bridge1 command so you can start a coding tool with bridge1 launch. Copy the setup for your client from the Gateway panel. The Compatibility page has the steps.
Bridge1 now tells you when another app is blocking it from starting, instead of closing silently.
Limits are listed in the app's Help, and per client on the Compatibility page.
24 GB of unified memory is the minimum. 32 GB or more is recommended.
Requirements →OpenCode, Codex, Claude Code and Claude Desktop are tested end to end. Pi.dev and Hermes Agent have early support.
Compatibility →Some models are for light tasks only, and some clients have known limits. Each is listed on its page.
Models →BEFORE YOU USE BRIDGE1
The live Terms of Service and Privacy Policy on bridge1.ai are the operative text. Copies of them are on this site as drafts.
Read about Bridge1 and its publisher, Dojoit, Inc.
Terms of Service Privacy Policy →No account is required for the local app flow; invite-only early access may require activation with your code. The installer and model downloads are separate steps. After installation, choose a catalog artifact so Bridge1 can prepare its engine instead of asking you to assemble a runtime.
No. Local model inference keeps prompts and outputs on your computer, while activation, model downloads, updates and optional submissions need network access. Your coding client may also contact its own services. Check the client’s behavior instead of treating a local endpoint as an all-app offline guarantee.
No. Choose the catalog model you need; Bridge1 downloads its pinned artifact and prepares the engine. Check quantization, disk size and memory fit first. The catalog includes MLX and GGUF profiles, so installing the desktop app does not mean loading every model into memory.
No. Bridge1 prepares the engine for the chosen catalog model and verifies pinned downloads. Install the macOS app, activate if asked, add a model and copy your client setup. This replaces manual engine assembly; it does not remove model download time or memory requirements.
Check macOS availability, unified memory and the coding client you want to use. Early access is invite-only, with no published deadline or guaranteed acceptance. Choosing a model that fits and reviewing client limits avoids discovering those constraints in the middle of a coding session.