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AutoOffice 1.0.0

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@CursiveCrow CursiveCrow released this 18 Sep 20:22
· 2 commits to main since this release
v1.0.0
39aa969

AutoOffice 1.0.0 — a fully staffed office of AI agents, running on your own machine.

Each agent has a role, a private memory, and a place in the chain of approval. Everything the office decides and produces is recorded in one SQLite database inside a workspace folder you own. A new office opens with 17 divisions, 54 teams, and 179 identities.

Download

This release is Windows x64 only. The application's path-confinement, shell, and update helpers are native Windows components, and the bundled Electron, Node.js, llama.cpp, and Codex runtimes are Windows builds. There is no macOS or Linux build.

The package is 3.3 GB, above GitHub's 2 GiB per-file limit, so it ships as two archives. Both are required.

Archive Contents Size
AutoOffice-1.0.0-win32-x64-part1-app.zip The application, local inference (llama.cpp CPU and CUDA), Codex 773 MB
AutoOffice-1.0.0-win32-x64-part2-training.zip The offline Python/CUDA training runtime 2.0 GB
  1. Download both archives.
  2. Extract both into the same folder. They merge into one AutoOffice-1.0.0-win32-x64 directory.
  3. Run AgentOffice.exe inside it. (The executable carries the application's internal name.)
  4. Choose Open workspace and pick a folder; the office is created inside it.

Requirements

  • Windows 10 or later, x64
  • An NVIDIA GPU is optional. CUDA-accelerated local inference and QLoRA training use it; a CPU build of llama.cpp is included and works without one.

Checksums (SHA-256)

aa779f21a5f907a495f1cefe20029003248e55b77c9a5ae28737ccaa13ce452c  AutoOffice-1.0.0-win32-x64-part1-app.zip
ee978bdc5c1c30298c94f6a55bf637de8f3cc38a44ff0e8c855b73a0449b099f  AutoOffice-1.0.0-win32-x64-part2-training.zip

License

AutoOffice is licensed under the Apache License 2.0. It bundles third-party components under their own licenses. The CUDA-accelerated inference path includes the NVIDIA CUDA runtime, which is governed by the NVIDIA CUDA Toolkit EULA rather than an open source license; the CPU-only path carries no such restriction. Models, LoRA adapters, and training sources you import at runtime are not distributed with this software and remain subject to their own publishers' licenses.

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