SeekFleet
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SeekFleetShow fleet status and token usage."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SeekFleet
Run agents like a fleet.
Cross-platform control plane for DeepSeek Harness agent fleets — with MCP, durable sessions, adaptive routing, policy gates, token budgets, and a phone-friendly LAN dashboard.
Give an AI the repository URL. It can install the Skill, configure MCP, verify the runtime, and explain exactly what changed.
International overview
The product page includes a persistent language switcher with five localized experiences: 简体中文, English, 日本語, 한국어, and Español. The page detects the browser language automatically, accepts a direct ?lang= link, and remembers the visitor's choice.
Language | Product summary |
简体中文 | 面向 DeepSeek Harness Agent 集群的跨平台控制平面,统一调度、监控、预算、策略与局域网控制台。 |
English | A cross-platform control plane for routing, observing, budgeting, governing, and stopping DeepSeek Harness agent fleets. |
日本語 | DeepSeek Harness Agent艦隊をルーティング、監視、予算管理、制御するクロスプラットフォーム基盤。 |
한국어 | DeepSeek Harness 에이전트 함대를 라우팅, 관찰, 예산 관리, 정책 적용, 중지하는 크로스 플랫폼 제어 플레인. |
Español | Un plano de control multiplataforma para enrutar, observar, presupuestar, gobernar y detener flotas de agentes DeepSeek Harness. |
The 30-second version
SeekFleet turns DeepSeek Harness from a collection of processes into an observable, governable fleet:
Surface | What it gives you |
MCP server | 20 structured tools with stable envelopes and annotations |
SDK | One TypeScript API for one-shot tasks, sessions, clusters, and DAGs |
Control plane | Routing, cache, circuit breakers, budgets, policies, and cancellation |
LAN dashboard | Live agents, requests, tokens, cost, failures, sessions, and protected controls |
Agent Skill | One deterministic install path for Codex, Claude, Cursor, Gemini, and |
Give this repository to an AI
Copy this prompt as-is:
Install SeekFleet from https://github.com/cndoin/seekfleet.
Read INSTALL.md first, install it for this AI client, configure its MCP server,
and verify the installation without exposing credentials.The machine-readable contract lives in INSTALL.md. It includes Windows PowerShell, Linux, and macOS paths, user/project Skill scopes, verification, update, and rollback behavior.
Install from source
Requirements: Node.js 20+, npm 10+, and @deepseek-ai/dsh or an explicit DSH_MODULE_ROOT.
git clone https://github.com/cndoin/seekfleet seekfleet
cd seekfleet
npm ci
npm run build
node dist/bin/seekfleet.js skill install --target auto
node dist/bin/seekfleet.js inspectInstall the Skill into every supported AI client:
node dist/bin/seekfleet.js skill install --target all --forceFor a project-local Skill, use --scope project; it installs into .agents/skills/seekfleet without changing the user profile.
Start the fleet
node dist/bin/seekfleet.js serve-mcpRun MCP and the phone dashboard together on a trusted LAN:
node dist/bin/seekfleet.js serve-mcp \
--dashboard \
--dashboard-host 0.0.0.0 \
--dashboard-port 8787Open the printed URL on a phone connected to the same network. The dashboard is bearer-token protected; do not expose it directly to the public internet.
SDK at a glance
import { SeekFleet } from "seekfleet";
const fleet = new SeekFleet();
const review = await fleet.run("Review this module for race conditions");
console.log(review.answer);
const clusterId = fleet.cluster({
routing: "adaptive",
instances: [
{ label: "code-a", tags: ["code"] },
{ label: "code-b", tags: ["code"] },
{ label: "review", tags: ["review"] },
],
});
const result = await fleet.clusterRoute(clusterId, {
task: "Audit the authentication flow",
tags: ["review"],
timeoutMs: 120_000,
});
await fleet.clusterShutdown(clusterId);DshPlugin remains available as a deprecated source-compatibility alias. MCP tool names retain the dsh_* prefix so existing integrations keep working.
Choose your execution mode
Mode | Best for | Control surface |
One-shot | One bounded task |
|
Session | Long-running, cancellable work |
|
Cluster | Parallel or repeated tasks |
|
DAG | Dependent task graphs |
|
Routing strategies include least-loaded, round-robin, tag, adaptive, and random.
Architecture
AI client (Codex / Claude / Cursor / Gemini / Hermes / OpenClaw)
│
MCP or SDK
│
SeekFleet
┌───────────────────┼───────────────────┐
│ │ │
Durable sessions Agent clusters Policy gate
│ routing · cache · DAG │
└───────────────────┼───────────────────┘
│
DeepSeek Harness
│
tools · models · subprocessesCross-platform configuration
PowerShell:
$env:DSH_MODULE_ROOT = "C:\Tools\deepseek-harness"
$env:DSH_HOME = "$env:USERPROFILE\.dsh"
npm run serve-lanBash or zsh:
export DSH_MODULE_ROOT=/opt/deepseek-harness
export DSH_HOME="$HOME/.dsh"
npm run serve-lanUse OS-native absolute paths. Do not copy Windows drive paths into Linux or macOS configuration.
Environment variables
Variable | Default | Purpose |
| auto-detected | Installed DeepSeek Harness package |
|
| Profiles and persistent runtime state |
|
| Codex configuration root |
|
| Start the dashboard with MCP when set to |
|
| Dashboard bind host |
|
| Dashboard TCP port |
| random | Fixed dashboard bearer token |
The previous DSH_DASHBOARD* names remain accepted as compatibility aliases.
Project map
src/— SDK, routing, sessions, policies, metrics, dashboard, and MCP serverbin/seekfleet.ts— cross-platform CLI entry pointSKILL.md— compact AI operating instructionsagents/openai.yaml— AI client discovery metadatadocs/— GitHub Pages product site and social preview assetexamples/— MCP, SDK, adapter, and cluster examplestests/— 94 behavior and integration tests
Development
npm ci
npm run format:check
npm run typecheck
npm run lint
npm test
npm run buildCI runs on Windows, Ubuntu, and macOS with Node.js 20, 22, and 24. The live product page is published from docs/ by GitHub Pages.
Security
SeekFleet executes real agent tools and subprocesses. Configure policies, budgets, finite timeouts, and restricted workspaces before autonomous use. See SECURITY.md for the threat model and disclosure process.
License
MIT — see LICENSE.
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Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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