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DoxieOS

CI .NET License

DoxieOS is a local-first operating layer for AI-assisted engineering work. It turns a developer machine into a control plane for agents, workflows, workspaces, reusable memory, provider shims, live consoles, notifications, and reviewable delivery.

Claude Code and OpenAI Codex are supported provider CLIs, but they are not the product boundary. DoxieOS owns the canonical .doxie/ catalog and emits provider-specific compatibility files from that source of truth.

What You Get

  • A local web app for launching, observing, and reviewing agent work.
  • A canonical .doxie/ catalog for agents, workflows, libraries, and memories.
  • Provider-neutral execution for Claude Code, OpenAI Codex, and future CLI-backed providers.
  • Workspace-aware memory mounting for project standards and team context.
  • Workflow orchestration for repeatable multi-agent delivery.
  • Agent and workflow builders with draft previews and catalog promotion.
  • Live consoles, run history, usage tracking, release notes, and notifications.
  • MCP-aware settings for Claude/Codex config reconciliation.
  • Docker Compose support for local containerized operation.

Documentation

The full product documentation lives in docs/.

Architecture At A Glance

flowchart TD
    UI["DoxieOS Web Shell"] --> Catalog[".doxie/ catalog"]
    UI --> Runner["Agent and Workflow Runner"]
    UI --> State["SQLite State"]
    Runner --> Workspace["Workspace Context"]
    Runner --> Providers["Provider Adapters"]
    Providers --> Claude["Claude Code CLI"]
    Providers --> Codex["OpenAI Codex CLI"]
    Catalog --> Generated["Generated provider shims"]
    Generated --> ClaudeFiles[".claude/"]
    Generated --> CodexFiles[".codex/"]
    Runner --> Runs["Run outputs and history"]
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Run Locally

Install the .NET SDK pinned in global.json, then run:

dotnet run --project src/Viamus.Doxie.Orchestrator

The app listens on http://localhost:5034 by default.

Useful development commands:

dotnet restore Solution.slnx
dotnet build Solution.slnx
dotnet test Solution.slnx

Run With Docker Compose

docker compose up --build

The default Compose profile exposes http://localhost:6034, bind-mounts the canonical .doxie/ catalog and .private/ folder, and persists runtime state plus provider auth in named Docker volumes.

Use another host port with:

DOXIE_HTTP_PORT=6134 docker compose up --build

If MCP servers run beside DoxieOS in Docker, use their Docker service names instead of localhost. Host-machine MCP services can be reached from the container with host.docker.internal.

Repository Shape

.
├── .doxie/                         # Canonical Doxie catalog
├── docs/                           # Product documentation
├── src/                            # .NET / Blazor application
├── tests/                          # Automated tests
├── docker-compose.yml              # Containerized local runtime
├── LICENSE                         # Apache License 2.0
└── NOTICE                          # Attribution notice for redistributions

Runtime folders such as .workspace/, .sandbox/, .runs/, local databases, and private provider content are intentionally kept out of normal commits.

Bundled Catalog

The bundled catalog includes:

  • agent and workflow builders;
  • Doxie library authoring;
  • prompt, aggregate, loop, approval, and workspace output primitives;
  • transient sandbox management for isolated agent scratch work.

License

DoxieOS is licensed under the Apache License 2.0 and ships with a NOTICE file. The license keeps DoxieOS free to use while preserving attribution and patent protections.

See Licensing And Attribution for the project intent.

Contributing

See CONTRIBUTING.md for setup, branch naming, review conventions, and code style.

Quick version:

  1. Branch from main.
  2. Keep product/runtime changes separate from catalog/spec-only changes.
  3. Edit canonical Doxie files under .doxie/ when changing agents or workflows.
  4. Run the narrowest useful validation locally.
  5. Push and open a reviewable change.

About

DoxieOS: a local-first operating layer for AI-assisted engineering work, with agents, workflows, workspaces, memory libraries, provider shims, MCP settings, live consoles, and inspectable run history.

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