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musharna/jobd

musharna/jobd

Self-hostable GPU-aware job broker: dispatch long-run
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add jobd -- npx -y jobd
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
5 ★ · musharna/jobd · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 5 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 musharna/jobd;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

jobd

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**A self-hostable, GPU-aware job broker for your own machines — with native MCP/agent integration.**
> Like task-spooler or pueue, but across *all* your machines — and VRAM-aware.
Demo recorded on jobd v0.5.30; output on later versions may differ.
You have a couple of boxes with GPUs — a workstation, a server, maybe a laptop — wired together over Tailscale or a LAN. You want to fire off training runs, data pipelines, and long batch jobs from anywhere, have them land on whichever machine actually has the VRAM free, survive across sessions, and get preempted cleanly when something more important shows up. You don't have a cloud, a Kubernetes cluster, or a Slurm install, and you don't want one.
jobd is that missing piece: a lightweight, single-process broker that turns a handful of personal machines into a single queue — and an LLM agent can drive it directly.
VRAM routing tracks one GPU per host: the worker reports free memory on GPU index 0 only.
Why it exists
Most schedulers assume a datacenter. The lightweight ones that don't (a bare nohup, a tmux session, an ssh-and-pray script) give you nothing: no queue, no VRAM-aware routing, no preemption, no record of what ran where. jobd fills the gap between "ssh in and run it" and "stand up Slurm":
- **VRAM-fit routing.** The broker matches each job against live worker capacity (free VRAM / RAM / CPUs, capability tags, arch/OS) and dispatches to a worker that actually fits — instead of you guessing which box is free. One GPU per host is tracked (GPU index 0).
- **Preempt + checkpoint window.** A higher-priority job can preempt a running one: the worker sends SIGTERM, the workload gets a grace window, then SIGKILL. jobd gives each job a per-job JOBD_CHECKPOINT_DIR to write into during that window; saving the checkpoint is the workload's job. A preempted job ends in the terminal preempted state and is not re-run automatically — to resume, you submit a new job pointed at the old checkpoint. (See docs/preemption.md.)
- **Survives sessions.** Submit, close your laptop, check back tomorrow. Jobs live in the broker, not your shell.
- **Agent-native.** Ships a first-class MCP server so an LLM agent (Claude Code, etc.) can submit, monitor, and babysit jobs as tool calls.
- **Yours.** One broker process you run on a machine you own. No accounts, no telemetry, no per-GPU-hour billing; the broker and worker talk only to each other and to your clients. The optional self-update scripts do go online to fetch releases: scripts/update-worker.sh (which job fleet add installs on a timer) installs from PyPI, and scripts/deploy-broker.sh queries the GitHub API and pulls the image from GHCR.
- **Loopback by default, tailnet-only beyond it.** The broker binds 127.0.0.1 unless you set JOBD_HOST. A request from any address that is neither loopback nor in Tailscale's CGNAT range (100.64.0.0/10) gets a 403 (JOBD_DISABLE_TAILNET_ACL=1 turns that check off).
Why not just use…?
| Tool | What it gives you | Why jobd instead |
| ------------------------------------------------------------------------------ | ----------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| **nohup / tmux / ssh-and-pray** | Runs a command on one box | No queue, no VRAM-aware routing, no preemption, no record of what ran where |
| **task-spooler** | A real job queue — on a single machine | jobd queues across _all_ your machines and routes by live VRAM/CPU fit |
| **Pueue** | A mature single-machine command queue daemon | Pueue's own README declares distributed execution out of scope — jobd is that missing layer, plus GPU awareness |
| **HyperQueue** | Multi-machine task scheduling with HPC roots, single binary | HQ counts GPUs but doesn't track VRAM, and has no preemption/checkpoint contract or agent interface |
| **Slurm** | Datacenter-grade scheduling | Heavy to stand up and operate for 2–3 personal boxes; jobd is one process + a poller per host |
| **SkyPilot / dstack** | Provision and run on clouds + your own machines | SkyPilot's "existing machines" mode installs a Kubernetes cluster (k3s) on your boxes; dstack wants Docker + passwordless sudo on every host. jobd is one process + a poller — no containers, no sudo, no K8s |
来源
awesome · https://github.com/musharna/jobd
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