OAIY — Orchestrate AI Yourself

Your AI, on your own computer. OAIY is one desktop app with an agent that works in your projects and answers your business's phone, the models it runs on your GPU, a flow editor for automations, and the plugins and connections around them.

What it does · How the parts fit · Getting started · Repository layout · Documentation

An agent that does the work. Give it a task in a project: it plans the steps, works through them one at a time, checks each one, and keeps you posted. It writes and runs code on the Zipp VM, builds web pages and SoftN apps with a live preview, and makes pictures, video, speech, music, sound effects and 3D models. It thinks with the model chosen in OAIY's engines, or with your ChatGPT account.
A receptionist for your phone. With the Aokie Phone Bridge plugin, the Agent answers your business's calls and texts in its own voice, books appointments into a calendar you confirm, remembers the people who get in touch, and rings or texts a list of people for you.
Models on your own hardware. OAIY's engines are written in Rust: language models (streaming mixture-of-experts weights from the NVMe when a model does not fit on the GPU) and pictures, video, speech, music, sound effects, 3D models, background removal and upscaling, behind OpenAI-style endpoints.
Flows. Build automations in the flow editor, with the engine's models as nodes of their own. A flow can be a tool the Agent uses, and a flow can hand a task to the Agent.
The Agent sets OAIY up. Setup asks only for the essentials, then the Agent sets up the rest with you in a chat, through OAIY's own control API.

Screenshots

Overview. Today on this computer: the phone, the model, the next appointment, and what needs you.	Flows. The flow editor, with the engine's models as typed nodes in the palette.
The Agent at work. Each tool it used, with its input and result.	A call. The receptionist's side of a phone call, as it happens.
Calendar. Appointments, and the requests calls and texts bring in for you to confirm.	Hours & Services. The business as the receptionist tells callers.
Contacts. Names, your notes, and what the receptionist remembered.	Outreach. Calls with an objective, worked down a list, with the results.
Setup. The essentials first: your AI, and what the Agent may change.	Settings → Agent. What the Agent may change, and everything it changed.

_{The dark theme.}

_{The screenshots are from a demo setup: the business, the people and their numbers are
made up (the numbers are ones the ACMA keeps for fiction), and the phone and the engines
are stand-ins. See docs/README.md.}

What it does

OAIY Desktop

A Tauri 2 app for Windows, Linux and Macs with Apple silicon (the Windows installers are the better tested), with its HTTP API (axum) on 127.0.0.1:17972. Its sidebar:

Overview: the phone, the language model, the next appointment, requests to confirm, plugins and services.
Work:
- Agent: the Agent app (below).
- Flows: the flow editor, and the history of every flow run.
- AI Receptionist: Phone, Calendar, Contacts, Messages, Hours & Services and Transfers, while a plugin provides the phone and the calendar.
Setup:
- Engines: the engines' own control pages, and model files.
- Services: local services to install, start and stop (OAIY Voice, a Playwright browser, your own Python), with a bundled Python and reusable venvs.
- Connections: apps and accounts allowed to use this computer, AI providers (ChatGPT through the Codex CLI, or a provider's API key), and plugins.
Settings, with Agent: what the Agent may change, the model it thinks with, and every change it made.

The Agent, the flow editor and the engines' pages are webviews of their own, laid over the dashboard's content area, so the Agent's page can be cross-origin isolated for its code sandbox. The desktop starts the engines in its own process, supervises the plugins and services, and keeps the link to a FormLogic account.

The Agent

The Agent app (app/, which began as bot.computer) is a coding and working agent:

Projects with a file tree, an editor, a live preview (web pages, SoftN apps, 3D models) and a terminal, a bash-like shell on the Zipp VM with git, node and python. Code the agent runs can reach the project and nothing else, except what the network gate lets through.
A chat with a plan: the agent sets a checklist, works through it step by step, reviews each step, and shows every tool it used. A conversations picker switches between a project's conversation and the phone's.
Its model: the model chosen in OAIY's engines, or ChatGPT (Settings → Agent). As a web app in a browser it can also use any OpenAI-compatible server or Anthropic's API. The web app installs from the browser as an app (Install app, in its menu), works offline and says when a new version is ready (how).
Media: pictures, video, speech, music, sound effects and 3D models from OAIY's engines, straight into the project, and background removal and upscaling.
The Front desk: the phone's own project. Its runner is your conversation that directs the phone's agents; each person who calls or texts has one conversation with their calls and texts together; each call and text is answered by a sub-agent that reads the Front desk's brief and reference files. Outreach calls or texts a list of people with an objective and collects the results. The receptionist speaks for the business, as Aokie unless you name it otherwise.
The control MCP server: the Agent checks and changes OAIY itself (models, services, plugins, flows, the calendar's settings, contacts) with fifty tools, behind a switch and an audit log. Calls, texts and flow tasks never get them. See docs/AGENT_CONTROL.md.

The AI Receptionist

The Aokie Phone Bridge plugin connects the business's mobile phone to the PC over Bluetooth. OAIY hears and speaks with OAIY Voice (Parakeet speech-to-text and Qwen3-TTS, in Rust on the GPU), and the Agent decides what to say. It listens the whole call, takes turns like a person, keeps talking while a lookup runs, and records a booking as a request for you to confirm. The Calendar, Hours & Services, Contacts and Messages live on this computer and work offline; with a FormLogic account linked, the calendar syncs with it. When you turn it on under Transfers, a caller who asks for you makes your Companion ring, and a caller who cannot be put through can leave a message. See docs/RECEPTIONIST.md and docs/CALLS.md.

Flows

The flow editor (platform/ui) has Workflows (the canvas), Data, Queue, Packages and Settings. The engine's models are typed nodes: image, video, speech, music, sound effects, 3D models, background removal and upscaling, beside the language model, speech-to-text and Ask the Agent. Python services added in OAIY's Services are nodes too. A flow can be made a tool for the Agent, or run before or instead of one of its own tools. Flows run on the ZIPP VM, in the editor and headless through the oaiy CLI, which the desktop uses to run them.

The engines

oaiy-studio (in crates/) supervises oaiy-llm-server (language models: GGUF and safetensors read in place, experts streamed from the NVMe through a RAM cache to the GPU) and oaiy-media (Qwen Image, SDXL, LTX video, Qwen3-TTS and Breeze TTS 2, MiniMax Music 3, MOSS-SoundEffect, Pixal3D, BiRefNet, Real-ESRGAN, on Candle). It serves an OpenAI-style gateway (8080) and its control pages (7860), downloads ready-to-run models from its catalog, and runs them on a GPU of any make through WebGPU, else on the CPU. See docs/ENGINES.md and docs/STUDIO.md.

Plugins, setup and connections

Plugins are supervised processes that speak JSON-RPC over stdio. Manifest schemaVersion 4 adds modules (a plugin provides the phone or the calendar), agent tools, and a setup wizard of its own. See docs/PLUGINS.md.
Setup asks for the essentials (your AI and what the Agent may change), then Continue with the Agent, or step by step yourself. See docs/SETUP.md.
FormLogic: a browser pairs with the desktop on the same computer; a linked account syncs the calendar offline-first, relays AI requests and flow runs to this computer from anywhere (end to end encrypted), and runs FormLogic's automations. See platform/README.md and REMOTE_FORMLOGIC.md.
oaiy-server: the desktop's API and services without a window, for a server.

How the parts fit

flowchart TB
  subgraph desktop["OAIY Desktop · Tauri 2"]
    direction LR
    ui["Dashboard, Agent,<br/>flow editor"] --> api["HTTP API · 127.0.0.1:17972<br/>control MCP at /api/mcp"]
    host["Plugin host"]
    voice["Voice gateway<br/>127.0.0.1:17872"]
  end
  subgraph engines["Engines · oaiy-studio: gateway :8080, control :7860"]
    direction LR
    llm["oaiy-llm-server<br/>language models"]
    media["oaiy-media<br/>pictures, video, speech,<br/>music, sound, 3D"]
  end
  subgraph phone["The phone"]
    direction LR
    aokie["Aokie Phone Bridge<br/>(plugin)"] <-->|Bluetooth| mobile["Business phone"]
  end
  api --> engines
  api --> cli["oaiy CLI<br/>flows on the ZIPP VM"]
  api <-->|"account link, relay"| fl["FormLogic"]
  api --> chatgpt["ChatGPT<br/>through Codex"]
  host <-->|"JSON-RPC over stdio"| aokie
  aokie <-->|"call audio"| voice
  voice --> ovoice["OAIY Voice<br/>Parakeet + Qwen3-TTS"]

Calls and texts come in as events on the desktop's event stream; the Agent's page follows it and answers each in that person's conversation. The engines run in the desktop's own process (oaiy_studio::launch); a debug build attaches to an oaiy-studio you run yourself, so rebuilding the desktop does not unload the model.

Port	What
`17972`	OAIY Desktop: the HTTP API, pairing, plugins, runs, the control MCP server
`17872`	The voice gateway: the AI gateway for plugins, and a call's audio
`8080`	The engines' OpenAI-style gateway
`7860`	The engines' control pages and API
`8783`	OAIY Voice

Where another program holds 8080 or 7860 (or Windows keeps it reserved, or holds it a minute after an OAIY that ended suddenly), the engines take the next free port of the 20 after it, else any free one, and say so in Engines → Logs. The window, the Engines page, the Agent and the flows ask OAIY Desktop where they are (GET /api/engines's gatewayUrl), so nothing needs changing; an address typed by hand elsewhere (a CLI's --backend, another program's settings) does.

Getting started

Prerequisites

Rust (stable) and Node.js 24 with npm.
Windows: the Visual Studio 2022 C++ build tools and WebView2, as Tauri needs.
For the engines' GPU: a graphics card of any make with a current driver (Direct3D 12, Vulkan or Metal). The engines run on it through WebGPU, and on the CPU without one; nothing of a GPU's is needed to build them.
For ChatGPT: the Codex CLI, signed in from OAIY.
For the phone: the Aokie plugin, and Bluetooth to reach the phone (see Aokie's contract).
Chrome or Edge, for the end-to-end tests.

npm ci in app/ fetches and checks the Zipp engine (public/zipp/); the flow editor and the CLI install theirs from a checksummed ZIPP release before they build or test.

The engines

# The host:
cargo build --release -p oaiy-studio -p oaiy-studio-tray

# The engines too: oaiy-media, oaiy-llm-server and the host
pwsh tools/qwen-image/build.ps1

target/release/oaiy-studio          # its control pages open in a browser window

A portable engines folder, its configuration and getting models are in docs/STUDIO.md.

OAIY Desktop

The desktop shows the Agent and the flow editor from their builds, and ships the CLI that runs flows:

cd app && npm ci && npm run build:desktop && cd ..             # the Agent: app/dist (and the SoftN runtime its app preview needs)
cd platform/ui && npm ci && npm run build && cd ../..          # the flow editor: platform/ui/dist
cd platform/cli && npm ci && npm run build && cd ../..         # the flow runner

cd platform/desktop
npm ci
npm run sync-cli       # stages the CLI into src-tauri/resources/cli
npm run tauri:dev      # the dashboard on Vite (17973) and a debug build of the desktop
npm run tauri:build    # the installers, under src-tauri/target/release/bundle/

tauri:build first stages the Agent's and the flow editor's builds into src-tauri/resources/app and resources/flows (npm run stage-pages), and the portable language-model engine, the media engine and OAIY's voice into resources/engines (npm run stage-engines; build them first with cargo build --release -p oaiy-llm-server --no-default-features --features webgpu --bin oaiy-llm-server-webgpu, cargo build --release -p oaiy-media and cargo build --release -p oaiy-voice), so the installers carry them, and it stops if any is missing or incomplete. tauri:dev needs none of that: it serves them from their build folders. docs/RELEASING.md says what a release contains and how to make one.

The desktop listens on the same ports as an installed OAIY, so run one at a time. A debug build uses an oaiy-studio that is already running; a release build starts the engines itself, finding their programs beside it, in OAIY_ENGINES_DIR, or in the repository's target/release. OAIY_APP_DIST and OAIY_FLOWS_DIST point the desktop at other builds of the Agent and the flow editor.

The headless server

cd platform/desktop/src-tauri
cargo build --release --no-default-features --features web --bin oaiy-server
export OAIY_SERVER_TOKEN="$(openssl rand -base64 32)"
./target/release/oaiy-server
curl http://127.0.0.1:17972/api/health

Without the gui feature there is no Tauri, WebView or GTK. The web feature is the web login (the owner's password, the sign-in page, oaiy-server auth init): the release builds the server with it, and a server put on a network needs it. It is configured by environment variables, among them:

Variable	Default	What
`OAIY_DATA_DIR`	`~/.oaiy-server`	its data folder
`OAIY_SERVER_PORT`	`17972`	the port
`OAIY_SERVER_BIND`	loopback	`lan` listens on every interface, bearer tokens only, and needs an owner login first (`oaiy-server auth init`); or an address
`OAIY_PUBLIC_URL`, `OAIY_TRUSTED_PROXIES`	none	`https://<host>` of the dashboard when a reverse proxy is in front, and the proxy's address or network (required with a bind beyond loopback)
`OAIY_SERVER_TOKEN`	none	a bearer token for its protected routes: 32 to 256 characters, no common pattern (a guard against the obvious, not a strength meter: `openssl rand -base64 32`); one that has one stops the server (exit 78)
`OAIY_ENGINES_UI`	none	an `oaiy-studio` control port to relay (`http://127.0.0.1:7860`)
`OAIY_VOICE_GATEWAY`	on	`off` (or `0`, `false`) leaves 17872 alone, for a server run beside a desktop; a port from 1024 up serves the gateway there; anything else (`on`, `1`) is on, at 17872
`OAIY_PLUGIN_SOURCES`	none	a folder of plugin folders the setup catalog offers
`OAIY_MODELS_DIR`, `OAIY_HF_TOKEN`		where downloads go, and a Hugging Face token

See platform/desktop/README.md.

Working on one part

cd platform/desktop && npm run dev   # the dashboard alone: Vite on 17973, API at 127.0.0.1:17972
cd app && npm run dev                # the Agent in a browser: http://localhost:5317
cd platform/ui && npm run dev        # the flow editor: http://localhost:5173/app.html

Tests

Where	Command	What
root	`cargo test`	the engines' default crates; `--workspace` adds the Candle crates (media and speech). The tests that need a GPU or a model on disk are ignored
`app/`	`npm test`, `npm run test:e2e`	unit tests; the app in headless Chrome with a scripted model
`platform/desktop/`	`npm test`	the dashboard (Vitest)
`platform/desktop/src-tauri/`	`cargo test --no-default-features`, `cargo test --features gui`	the desktop's Rust, headless and with the GUI
`platform/ui/`	`npm test`	the flow editor: types, node contracts, the ZIPP engines
`platform/cli/`	`npm run build && npm test`	the CLI and its ZIPP guards
`web/`	`npm test`, `npm run test:e2e`, `npm run test:mutations`	the OAIY web app's providers origin: typecheck and unit tests (the CI gate runs these); real-browser tests and the mutation checks (by hand)

platform/TESTING.md has the details. The CI and release workflows are in .github/workflows; automatic CI is paused, so ci.yml is started by hand, and a release is made by tagging a version: see docs/RELEASING.md.

Repository layout

Folder	What
`crates/`	The engines, in Rust: `oaiy-engine` (the core), `oaiy-llm-server` (the language models: the GGUF ones and DeepSeek-V4.1) and `oaiy-llm-cli`, `oaiy-media`, `oaiy-tts`, `oaiy-voice`, `oaiy-image`, `oaiy-studio` and `oaiy-studio-tray`, and the GGUF stack (`gguf`, `ggml-quants`, `ggml-rs`, `ggml-rs-wgpu`, `tokenizer`)
`app/`	The Agent app (TypeScript, Vite)
`platform/desktop/`	OAIY Desktop: the dashboard (React), the Tauri 2 and axum host, and `oaiy-server`
`platform/ui/`	The flow editor and its bundled nodes
`platform/cli/`	`oaiy`, the headless flow runner
`platform/protocol/`	The OAIY Bridge Protocol, its schemas and a TypeScript client
`platform/api/`	An optional PHP API for shared flows and remote runs
`config/`	Example configurations for the engines
`tools/`	Build scripts, and reference tools for checking the engines
`docs/`	The documentation

The repository joins three projects with their histories: the engines (formerly nrob) at the root, the agent (bot.computer) in app/, and the previous OAIY in platform/. git log -- <path> follows a file back into its project.

Documentation

The documentation index lists everything by area. To start:

Setting up OAIY and the AI Receptionist
The plan: how the app fits together, and what is done and next
The Agent's control of OAIY and plugins
The engines and their host
Phone calls, the Agent app, flows and FormLogic

Status

OAIY is in active development and its version is 0.1.0. Not done yet, among others: a /v1/realtime endpoint, streaming speech-to-text on calls, the engines' pages moving into the dashboard's own code, and flows kept as files in a project. The plan keeps the current state: docs/OAIY_PLAN.md.

Licence

The engines are Apache-2.0 (LICENSE-APACHE, NOTICE), and the GGUF stack is MIT OR Apache-2.0 (LICENSE-MIT); app/ and platform/ are Apache-2.0 (their own LICENSE and NOTICE).

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OAIY — Orchestrate AI Yourself

Screenshots

What it does

OAIY Desktop

The Agent

The AI Receptionist

Flows

The engines

Plugins, setup and connections

How the parts fit

Getting started

Prerequisites

The engines

OAIY Desktop

The headless server

Working on one part

Tests

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Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
app		app
config		config
crates		crates
docs		docs
platform		platform
scripts		scripts
shared		shared
tools		tools
web		web
.gitattributes		.gitattributes
.gitignore		.gitignore
CONVENTIONS.md		CONVENTIONS.md
Cargo.lock		Cargo.lock
Cargo.toml		Cargo.toml
LICENSE-APACHE		LICENSE-APACHE
LICENSE-MIT		LICENSE-MIT
NOTICE		NOTICE
README.md		README.md

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OAIY — Orchestrate AI Yourself

Screenshots

What it does

OAIY Desktop

The Agent

The AI Receptionist

Flows

The engines

Plugins, setup and connections

How the parts fit

Getting started

Prerequisites

The engines

OAIY Desktop

The headless server

Working on one part

Tests

Repository layout

Documentation

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