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Cezar:并行编排AI编码智能体
发布时间未知 · 北京时间
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查看原文 Cezar:并行编排AI编码智能体
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最近提交10-28 03:02提交时间不是项目发布时间
发布时间:未知 · 首次发现 10-28 14:30 · 北京时间
指标采集:10-28 14:30 · 指标已取得
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摘要
Cezar可为多个编码智能体分别创建Git worktree并行处理任务,也能从GitHub issue启动工作。工作流可用YAML编排智能体、检查、循环和CI步骤,并提供运行过程、差异与用量监控。
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| 采集时间 · 北京时间 | 指标 | 数值 | 来源 | 状态 |
|---|---|---|---|---|
| 10-28 14:30:32 | Star | 859 | GitHub 公开页面 | 已取得 |
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cezar
Open-source orchestrator and ADE for running Claude Code, Codex, OpenCode, Pi and other AI coding agents in parallel — locally or 24/7 on…
项目说明 展开 / 收起
Cezar - orchestrate hundreds of AI coding agents, 24/7. Demo · Quick start · Docs · Issues English | 简体中文 | 繁體中文 Compatibility note: GitHub list rows may omit body in the next minor release. Consumers should hydrate full text from /api/v1/github/comments/:kind/:number (detail.body) now. One control center for Claude Code, Codex, OpenCode and other coding agents. Run agents locally or on a VPS, automate multi-step workflows, and let them keep working while you're away. ▶ Watch the video: Meet cezar, your new parallel coding tool. Features 💯 Free and open source. 🖥️ Uses your own claude, codex, copilot, cursor, junie, opencode or pi login. No API key needed. ☁️ Easy to set up on a VPS, so your agents keep working when your laptop is closed. 📱 Fully responsive. Start and review tasks from your phone. 🔀 Every task gets its own git worktree, so several agents can work at the same time. Extra tasks wait in a queue. 🤖 Turn on Autonomous and a run never stops to ask. It just finishes. 📡 Watch it work live: agent text, tool calls, tokens and cost. 🏁 Run the same task ×2 or ×3, compare the diffs and keep the best one. 🧩 Skills are Markdown files and workflows are short YAML files. Mix agents per step. 🐙 Run the agent straight on a GitHub issue. Nothing merges on its own. 📂 One cockpit for all your projects. 📊 A workspace dashboard shows what needs you, what is running and what finished across your projects. 💸 Track reported cost and token usage by project in Usage & cost. ⏰ Schedule recurring work or launch tasks from GitHub and supported tracker events with Automations. 🌳 Agents can delegate independent work to child tasks, each in its own worktree, and receive their reports in the parent session. 🎫 Connect Jira or Linear to browse issues and launch tasks from your project tracker. 💾 No database. Everything is saved as plain files in .ai/cezar/. Screenshots Parallel tasks — Run and queue many tasks, each in its own git worktree. Live run — Every step, tool call and token, as it happens. Variants — Run a task ×2 or ×3 and keep the best diff. Workflows — Build a task's pipeline as a node graph: agents, checks, loops, gates, PRs and CI, saved as YAML. GitHub — Hand an open issue to the agent in one click. Skills + Autonomous — Pick a playbook, flip Autonomous and walk away. Dashboard — See what needs your input or review, what is running and what finished across your workspace. Usage & cost — Compare reported spend and token usage across projects. Automations — Schedule maintenance and reviews, and see the week ahead alongside GitHub triggers. On your phone — the same cockpit, from the task list to the diff. Quick start You need Node 20+ and at least one agent CLI you're logged into: Claude Code, Codex, GitHub Copilot CLI, OpenCode, Cursor Agent, Junie or pi. git and gh are optional. cd your-repo npx cezar-run This opens the cockpit at http://localhost:4321. Type a task, pick a workflow, then hit Start. npx cezar-cli still works too — it's the same package under its older name. npx cezar-run run "add a --json flag to the export command" # headless, no browser npx cezar-run init # scaffold .ai/cezar/ npx cezar-run@nightly # try tonight's build Just want to look around? Run CEZ_DRY_RUN=1 npx cezar-run. It uses a built-in mock agent, so you don't need to log in. Run it on a server npx cezar-run server-install --platform ubuntu-vps This sets up HTTPS, a login and a system service, so you can open the cockpit from anywhere, including your phone. There are guides for Ubuntu VPS and macOS + ngrok. How it works You describe a task. Type it, attach files, or start from a GitHub issue. cezar runs a workflow (agent steps plus shell checks) in a new git worktree, using your agent CLI. The cockpit streams every step live. If a check fails, the agent tries again and sees the error. You check the result. Read the diff, send notes back, or open a draft PR. A workflow is a small YAML file in .ai/cezar/workflows/: name: fix-and-verify steps: - id: implement prompt: "{{task}}" skill: project-conventions # optional: a Markdown skill from .ai/skills runner: codex # optional: which agent runs this step - id: verify command: "npm test" # exit 0 = pass onFail: { retry: implement, max: 2 } The built-in quick-task workflow runs with no setup. A check can also be a browser: browser and mobile e2e as a verification step turns an agentic e2e run — or an independent QA exploration — into the gate a task has to pass. Automations Turn repeatable work into an automation: check dependencies every morning, draft release notes on Fridays, or review each new pull request. Each match or scheduled occurrence launches an ordinary cezar task with the workflow and agent you choose. Create one in Automations, or ask the agent to set it up from a prompt. Preview event filters before enabling them. The list shows triggers, upcoming runs and recent outcomes; pause an automation whenever you need to. Task dispatch For independent pieces of work, an agent can dispatch child tasks — for example, changes in separate modules or a fresh review of a finished branch. Each child gets its own worktree, appears under its parent in the task list and reports back into the parent session. cezar limits a parent to four children in flight; when a parent has a budget, its children share that budget. Nothing auto-merges. Documentation The documentation site has searchable feature pages, step-by-step guides, and architecture diagrams. Run it locally with npm run docs:dev. Project lifecycle notifications are opt-in: run cezar with CEZ_WEBHOOKS=1, then open the project's Settings → Webhooks. See the receiver guide for signed JSON, native Slack/Discord notifications, external automation receivers and delivery limits. The reference covers everything else: configuration, environment variables, agent backends, multiple projects, the CLI and HTTP API, remote access and local development. Contributing Found a bug or missing something? Open an issue. Want to contribute? P