dsh-web
zhu1090093659/dsh-webDeepSeek Harness(DSH)Web 插件聚合生态包 · 一切皆插件,创意工坊分发(dsh-market.com)
Monorepo of DeepSeek Harness (dsh) plugin packages — the deterministic coordinator layer
Our portable agent framework, built on Orchid and Herdr. Routing, native activity, board and coordination tools, published contracts, profiles and the method make agent work governed and observable. ADR 0005 and ADR 0006 record the owner decisions.
Understand the loop | Try a local proof | The board | Documentation
An agent can write code all night. What it cannot do is tell you, reliably, what it did, whether it was allowed to, and who should check it — the moment you ask, you are interrupting it, and its answer about itself is an account from memory, not a record.
Harness exists so the human/agent split has a substrate. A human holds the decisions that need a person: what the fleet should work on, which fork gets the owner's call, what counts as accepted. Agents hold the work: research, implementation, review. Between them sits a deterministic layer that projects the work onto a board, decides what may run next, gates every change behind an explicit check, and records what happened.
The bottleneck this targets is not code production. Coding agents produce output faster than humans can review it; the scarce resource is coordination and review — knowing what ran, what it changed, whether it may proceed, and who is allowed to say so, read from disk rather than interrupting a session.
The method is not new here. The doctrine this repository encodes ran across three codebases with nothing in common — a Deno runtime spine, a Deno chat harness at depth, and a Next.js marketing site — and transferred cleanly for mechanics and not at all for domain knowledge. That asymmetry is the product seam: mechanics are portable, knowledge is specific.
The diagram shows responsibility boundaries. Orchid owns native dispatch and
Herdr owns terminal control; configured providers and observed sources determine
which paths are usable. Core executables use harness-* names.
flowchart TD
H[Human: intent, forks, acceptance] --> G[GitHub issues, labels, pull requests]
H --> F[harness-forge: explicit labels and process setup]
F --> G
G --> B[harness-board: read and project]
B --> C[harness-coordinator: plan, gate, select, replay]
C --> D[Orchid dispatcher and Herdr terminal control]
D --> S[Native CLIs: autonomous agent tasks]
C --> L[Caller with API and local-model adapters: explicit calls]
S --> E[Artifacts, changes, run evidence]
L --> E
E --> T[harness-telemetry: sink and backfill]
T --> H
E --> A[Human or dispatcher chooses a GitHub update]
A --> G
The loop, arrow by arrow:
harness-forge explicitly, and forge writes the label
taxonomy to that repository's GitHub — setup, on purpose, not in passing.harness-board reads GitHub and projects it: columns, a hierarchy view, a
digest page, and a check that names every way the board contradicts
itself. When it does, every terminal view says so — a banner above the
work, with the affected rows marked — and the check carries the detail.
It writes nothing back; its GitHub transport is read-only by
construction.harness-coordinator answers the deterministic questions over state
derived from that projection: what may run next, whether a step's gates
passed, and who may review whose work. Deciding and doing are separate
jobs — the workflow is inert data, and performing an effect belongs to a
caller.harness-telemetry sinks and backfills that record, and a human can read
it from disk with no agent awake — which closes the loop where it started:
intent in, legible status out.Harness owns the deterministic mechanism in this loop: board projections, routing and admission evidence, execution gates, provider adapters, telemetry, and durable intents and receipts. GitHub holds the work graph; Harness coordinates the work and records evidence that can be replayed and inspected without interrupting an agent. Autonomous agent tasks and token-metered calls keep their separate seams.
The product backend turns that mechanism into an authenticated, persistent application. It owns enrollment, access control, commands and projections, and publishes its captured OpenAPI artifact and generated client. The native client uses that product boundary for daily observation, decisions and steering. The three layers explains each layer's responsibilities and the relationships between them.
| A human decides | An agent does | The layer enforces |
|---|---|---|
| Intent: issues, labels, milestones, pull requests | The stochastic work: research, implementation, review | Projection: GitHub → board views; every terminal view flags a self-contradiction; check names it; a half-seen board is refused |
| Owner forks: whatever depends on what the owner wants | Lifecycle moves on its own item — one status: label at a time, per the generated skill | Eligibility: what may run next; every effect step must have a gate upstream, checked not promised |
| Acceptance: merges, closes, consequential writes | Recording evidence as it works | Independence: an author never evaluates its own artifact; no legal evaluator is a blocker, never a softer rule |
Running harness-forge to install labels and process | — | Replay: decisions re-run from their own inputs; a different answer is reported as nondeterminism |
The middle column is where all the intelligence in this system lives, and the outer two are why it can be trusted: humans keep the decisions that are theirs, agents keep the work that is theirs, and the layer in between never improvises — it is pure functions over declared data, which is what makes it auditable at all.
This README and the concept pages describe the intended product. Delivery progress
lives on the board and the
roadmap; harness-board status reads it from a checkout.
For interfaces you can use today, follow the package guides, generated CLI reference, and published contracts and release guidance. These operational references distinguish implemented behavior from planned work.
| You are… | Go | First outcome |
|---|---|---|
| evaluating or reviewing | the diagram above → docs/DOCTRINE.md → concepts | how work is staged, gated and independently reviewed, and what counts as evidence |
| contributing | the status section → packages/README.md → AGENTS.md | the current implementation truth and a safe change surface |
| adopting locally | local proof → the tutorial | deterministic behavior proven on your machine, without a daemon |
| operating a live host | the structure → Orchid and Herdr → native provider and telemetry docs | dispatch/control ownership and each observed prerequisite |
The local proof uses Node 24 or newer and pnpm 11. Node 24 is the supported floor; Node 26 is the development target. CI currently proves Ubuntu on Node 24, and release checks have also passed locally on Linux with Node 26.8.1. Engine enforcement and dual-version CI are tracked in #244.
pnpm install
pnpm run build
build is not only a compile — it runs a chain of repository-wide checks
around it. Two of them guard documents: every generated CLI reference page is
byte-compared against its binary, and every relative link and anchor is
resolved. What they check is exactly what they check — generated pages and
links, not hand-written prose. Pasted output in prose is checked by nobody —
#212 is the standing
counter-example, and the reason this README pastes almost none. The rule the
gap is measured against lives on the
docs index.
Then the first proof. It needs nothing but the build — no network, no credentials, no home directory:
node packages/coordinator/dist/cli.js policies
It prints the two evaluator-independence policies and which one is the default, plus the guarantee that holds under both: a session never evaluates itself, and a roster with no legal evaluator is a blocker rather than permission to waive the selected policy. That compatibility CLI exposes package policies; the current fleet still requires separate-session, different-family evaluation.
Four command-line tools exist, deliberately separate binaries rather than subcommands of one. Each reads a different source of truth — the GitHub API, a state file on stdin, a log directory on disk, the repository you are standing in — and each answers a question you would otherwise have to ask an agent:
| Command | Package | The question it answers |
|---|---|---|
harness-board | board | What is on the board right now — and does it contradict itself? |
harness-coordinator | coordinator | May this step run? Who is allowed to review it? What changed since last time? |
harness-telemetry | telemetry | What did the fleet actually do — read from disk, with nothing awake? |
harness-forge | forge | Install this board process into any repository. |
node packages/…/dist/cli.js and not the bare command nameEvery package here except contracts is private: true, so pnpm links their
bins where a dependent resolves them — not at the repository root. Running
the built entry point directly is the honest invocation from a fresh clone,
and it is what the repository's own scripts do (see skill:install in the
root package.json).
Further proofs, by what they need:
node packages/telemetry/dist/cli.js where --home /tmp/tel-home. Render the
governance display from a synthetic observation file — the fixture and its
commands live in the
telemetry README,
and every value in it is synthetic by construction.gh or GITHUB_TOKEN. harness-board columns projects a
repository; harness-board digest prints the board as a
markdown page; harness-forge doctor reports what a target
repository and your environment support. The tools whose whole job is
reading GitHub exit 3 and say so when no transport is available. Two
forge commands are deliberately not in that set: doctor exits 0 and
reports what it could see, and init exits 0 having written its local
files even when the GitHub half was skipped — which is why the tutorial
ends that step with a readback that can fail loudly.opencode serve) and local model servers need machines
and credentials this repository does not supply. The docs state those
prerequisites; nothing here claims they passed.To be walked through the whole thing once — building, installing the board process into a repository of your own, moving an item, recording a run and reading it back — From a clone to a moving board is fifteen minutes and needs no server.
ADR 0005 establishes Harness as our framework on Orchid and Herdr. docs/DOCTRINE.md owns the rules, docs/STRUCTURE.md the tree, and the package guide states shipped, partial and stub boundaries.
The original roadmap is historical. Decision Q, recorded in ADR 0005, supersedes its dsh-only product premise and the proposal to retire Herdr as the framework's foundation. UHP remains parked under ADR 0004.
Node and pnpm, GitHub as board authority, MIT licensing, independent evaluation and
the stable published @rickylabs/harness-contracts boundary remain. Cockpit and
mobile are separate products. Their runtime product API is cockpit's captured,
generated client; an old protocol-1/mux contract is a compatibility surface, not a
claim that the app runs on dsh.
ADR 0006 supersedes ADR 0005's compatibility posture where they differ: no shims, aliases or generated copies inside this repository, and only the consumer surfaces in docs/STRUCTURE.md are held stable. No source merge authorizes a live configuration change, activation or deployment.
Packages are grouped by responsibility. The package guide owns the complete package-to-epic table and implementation status.
board,
coordinator, governance,
and telemetry connect the work graph, admission rules,
execution evidence and progress.subagents and the
provider packages handle autonomous agent tasks; llm-local
handles API and local-model calls. routing resolves
configured choices and evaluator independence.forge installs the board process.contracts defines portable
mechanism data and readers for the product backend. The native client consumes
the backend's generated API/client.docs/STRUCTURE.md owns the target tree; this is the checkout as it stands.
packages/ the core packages, each with its README (packages/README.md lists them)
packages/method/ milestone render and validate, route receipts (`harness-method`), run templates
profiles/ agent profiles, read by orchid at a pinned revision
docs/ DOCTRINE, STRUCTURE, decisions, concepts, tutorials, how-to, reference, glossary
scripts/ the repository-wide checks the root scripts run
.llm/runs/ run artifacts — durable, reviewed via PR
.github/labels.yml the ejected label taxonomy — generated, then reviewed
.github/workflows/ the CI gate, the release pipeline, the status-label settler
.claude/skills/ agent skills; the board skill is generated (`pnpm run skill:install`)
AGENTS.md entry point, agent mode; conventions, generated files, ownership
CLAUDE.md entry point, standard mode
SECURITY.md the security surfaces of an agent inbox
The board itself is GitHub: issues, labels and pull requests. harness-board status and
harness-board check read it; no board page is committed.
This repository is an agent inbox. An issue labelled harness is polled
every thirty seconds and dispatched to a real agent on a real host, with no
confirmation step. That is a feature, not a hazard, but it means the label
starts something. Label deliberately —
AGENTS.md
owns the full statement of what follows from that.
Most pull requests here are opened by an agent, and the rules that matter are the ones a machine can check.
| File | What it settles |
|---|---|
AGENTS.md | The four-command local loop, branch and PR conventions, the generated files you must not hand-edit, who decides, releases and conduct |
SECURITY.md | Three surfaces an ordinary repository does not have: content that instructs an agent, a label that executes, and run artifacts that are committed |
MIT. The licence remains unchanged by Decision Q. See LICENSE.