Control plane for durable AI workers on infrastructure you control
Project description
Dorf
Durable AI workers on infrastructure you control.
Dorf makes your coding agent a durable worker—Codex today, more harnesses over time. Give it a job, walk away, and come back to the same work.
Each Worker gets a full development environment for its native tools and workflows. The Room keeps that work isolated from the rest of your infrastructure.
Run a coding Job
Install Dorf and run the one-time guided setup:
uv tool install dorf
dorf setup
See Getting started for current prerequisites and setup details.
Then create a Worker and give it one complete goal:
dorf worker spawn python-developer
dorf job assign build-retry-queue \
--to python-developer \
--goal "Build a small Python retry queue with tests, run them, and publish the results as evidence."
dorf job wait build-retry-queue
Close the terminal while the Job runs, then return from another shell:
dorf job inspect build-retry-queue
dorf job message build-retry-queue "Add a test for exponential backoff and publish the new results."
dorf job wait build-retry-queue
Workers do Jobs in Rooms
| Resource | Meaning |
|---|---|
| Worker | Durable identity around an agent harness |
| Job | Pinned goal with its own conversation and retained evidence |
| Room | Isolated environment supplied by a Room provider |
An Assignment records the exact Worker, Job, and Room binding for lifecycle and recovery. Most human-facing commands need only the Worker or Job name.
Workers wrap the harnesses developers already use; they are not a replacement agent framework. The control plane is harness- and sandbox-provider agnostic by design. Codex and local Incus VMs are the only supported adapters today; other harnesses and local or cloud VM providers can fit the same boundaries once validated.
Why Dorf
- Leave without losing the thread. Worker and Job identity survive the client that started them.
- Return to the situation, not a transcript. Inspect state, timeline, and evidence without asking the Worker to recap.
- Let the harness do its best work. Give it a complete development environment and contain that environment with a clear isolation boundary.
- Build workflows above the runtime. Dorf owns durable execution; applications own policy, acceptance, and presentation.
Alpha status
Dorf is alpha software. See Setup support for current adapters, host requirements, and limitations.
Coding-to-PR showcase
Coding-to-PR is the first application built on Dorf, not the runtime's identity. It takes a coding task from an isolated workspace through checks, review, follow-up, and a PR proposal.
dorf start "Fix the checkout timeout and add a regression test"
# Or leave an issue running unattended:
dorf afk 42
dorf job inspect JOB
dorf job inspect JOB --json # structured outcome pulse for agents
dorf verify JOB
dorf publish JOB
New coding Jobs use the Provider Connection selected by dorf setup. Pass
--provider-connection NAME only to intentionally override that host-local default.
The official dorf-codex image is the coding workstation: repository preparation and checks come
from the cloned repository's contract, while GitHub access remains a separately scoped host-side
integration. See the
North Star for how it fits
the broader runtime.
Build on Dorf
Build workflow-specific applications with the experimental Python SDK. It exposes the same Worker, Room, Job, and Assignment controls used by the CLI; coding-to-PR is the first example.
from dorf import Dorf
def run_coding_workflow(task: str) -> str | None:
with Dorf.open(provider_connection="personal-chatgpt") as dorf:
dorf.spawn_worker("developer")
dorf.assign_job(
"implementation",
worker_name="developer",
goal=(
f"{task}\n\n"
"Acceptance:\n"
"- Run the repository checks.\n"
"- Publish the results as evidence."
),
)
result = dorf.wait_for_job_input("implementation")
if result.outcome != "done":
raise RuntimeError(result.detail or result.outcome)
return result.response
The SDK is experimental and does not yet carry a third-party compatibility promise. See the Runtime Surface for the current responsibility boundary.
Learn more
- Documentation — choose a path by what you are trying to do
- Getting started — create your first Worker and Job
- North Star — approved product direction
- Setup support — host support, diagnostics, and troubleshooting
- Contributing — development workflow and DCO sign-off
- Security policy — private vulnerability reporting
Dorf is licensed under the Apache License 2.0.
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