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genie MCP工具 是一款基于 TypeScript 开发的开源工具,专注于 MCP工具、AI代理、代码生成 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
genie MCP工具 是一款基于 TypeScript 开发的开源工具,专注于 MCP工具、AI代理、代码生成 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:npm 全局安装 npm install -g genie # 方式二:npx 直接运行(无需安装) npx genie --help # 方式三:项目依赖安装 npm install genie # 方式四:从源码运行 git clone https://github.com/automagik-dev/genie cd genie npm install npm start
# 命令行使用
genie --help
# 基本用法
genie [options] <input>
# Node.js 代码中使用
const genie = require('genie');
const result = await genie.run(options);
console.log(result);
# genie 配置说明 # 查看配置选项 genie --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export GENIE_CONFIG="/path/to/config.yml"
<p align="center"> <a href="https://docs.automagik.dev/genie/quickstart"><img src=".github/assets/wish-run.gif" width="640" alt="Time-lapse of a real /wish run in Claude Code, from the task to an open pull request"></a><br> <sub>A time-lapsed replay of a real <code>/wish</code> run, host details hidden and agent launch line removed. Its figures are one labelled sample, from its own <code>genie wish report</code>. <a href="https://docs.automagik.dev/genie/quickstart">Full video</a></sub> </p>
Give /wish one decided task. It checks that the task fits, builds it in its own worktree, runs your repository's own check, has an agent that did not write the code review the exact commit, and opens a pull request. Merging stays with you.
curl -fsSL https://raw.githubusercontent.com/automagik-dev/genie/main/install.sh | bash
Claude Code runs it as /wish, Codex as $wish, and other agents by name. Docs · Skills · Discord
One /wish from a real run, shortened:
You: /wish Delete dead code: src/lib/defaults.ts has no production callers
(only a type import of AgentDefaults in src/lib/workspace.ts) and
src/__tests__/dir-ls.test.ts reimplements a removed handler and asserts
on its own copy. Move the AgentDefaults type into workspace.ts, delete
defaults.ts, defaults.test.ts and dir-ls.test.ts.
Genie: I started the wish workflow in the background on branch
wish/delete-dead-defaults. It checks that the task fits a single wish,
makes the change in its own worktree, runs the full check, gets an
independent review and opens a PR against dev.
Genie: Review: SHIP. Checks: pass. The PR is open and its remote head matches the
local one. This run merged nothing. Merging is yours.
The one-paste install at the top fetches the signed binary for Linux or Apple Silicon macOS and finishes with genie install. Stable is declared for Linux and macOS: both run in the release gate, so a change that breaks either one does not ship. Windows is not supported; WSL2 works but is not on the tested matrix. Coming from an earlier version? UPGRADING.md covers what changed, what left, and how to clean up.
<details> <summary>What the install delivers, consent scopes and release verification</summary>
Genie ships exactly two surfaces: - The signed binary, installed and updated by install.sh and genie update. - The skills and the saved workflows, delivered through the skills.sh channel. genie install and genie update run the pinned skills CLI over the tree the signed release put on disk, copy the workflows into ~/.claude/workflows, and record what landed in ~/.genie/skills-install.json.
The installer hands its arguments to genie install. --integrations auto|codex|claude|all|none (or --skip-integrations) is the consent scope for the skills channel: any value other than none installs to every detected agent skill home, because the skills CLI already installs per agent; none skips the channel, writes no record, and reports skills: skipped (consent: none). To install the binary and skip the skills channel:
curl -fsSL https://raw.githubusercontent.com/automagik-dev/genie/main/install.sh | bash -s -- --integrations none
Each detected agent gets the skills in its own skills home: ~/.claude/skills for Claude Code, and the shared ~/.agents/skills for Codex and the other agents that read it. genie install and genie update install the skills from the tree the signed release delivered, never from a GitHub ref. The public npx skills add automagik-dev/genie command serves the repository's default branch instead, so it can be ahead of or behind any release.
Every release is cosign-signed with SLSA provenance, and genie update verifies it offline, with no GitHub credential. The repository-hosted .well-known/latest.json and dev.json manifests are the authoritative channel pointers. GitHub's /releases/latest route and prerelease badge are deliberately not channel authority: a promotion advances only a monotonic manifest and never rewrites already-published assets or channel-significant draft/prerelease/latest metadata. Security and releases has the details. </details>
A saved workflow is a Claude Code script for a procedure worth running the same way twice. genie install and genie update deliver the catalog to ~/.claude/workflows. Genie v6.261003.1 ships 12. The Workflows docs describe each one. In Codex and other agents without saved workflows, the skills that start them (wish, brainstorm, council, docs, research, skill-audit, workfly) run the same stages by hand.
<details> <summary>All 12 saved workflows</summary>
- brainstorm: runs one round of a brainstorm whose state lives in DRAFT.md, so you answer between rounds, and ends in a reviewed DESIGN.md - council: architecture, delivery, product, security and dissent lenses, then a synthesis; assess only - docs-audit: audits every documentation surface against the live product and ranks the drift; assess only - evidence-gate: verifies a frozen contract of files, commands and claims against the artifact it covers; its only write is the report - observability-review: reviews traced Claude Code sessions in Phoenix and proposes rule changes, each tied to cited evidence; proposal only - pm-ledger-verify: adversarial lenses over uncommitted wish ledger edits - research-sweep: investigates a frozen question against a frozen source list and keeps every claim cited; read only - skill-audit-sweep: sweeps the shipped skills into a keep, improve, update, merge or retire table; assess only - skill-intake: assesses candidate skills from outside the catalog and assigns each exactly one disposition; mutates nothing - test-simplify: audits every test file in scope and proposes batches of tests to delete or consolidate; deletes nothing - wish: the engine behind the wish skill: admission, one executor in a worktree, a gate, an independent review, bounded repair and a PR; merging stays with you - workfly: discovers a procedure and builds its saved workflow, checked by a static test and refuters </details>
Mikro lives in mikro/ with its original Git history, npm lockfile, Node build and independent CI. Its runtime and dependencies are not part of the Genie binary or release payload. Root Bun, Biome and Knip discovery exclude that package; its full npm checks run separately.
The standalone runtime requires Node 22.19 or newer and pins the Pi SDK family to 1.0.2. genie mikro call <agent> --engine rlm|pi selects an engine explicitly; otherwise the agent's engine wins, then rlm. RLM remains the default. Pi uses an isolated native session with read, grep, glob, hermetic git and emit_done, not the RLM Python tool pack or an ambient Pi installation. Both paths retain the caller's schema and citation checks. Missing or partial provider usage is unknown: an observed subtotal is not a complete bill. See the agent schema and standalone upgrade boundary.
Repository checks use Bun 1.3.11 or newer, matching CI: subtree test pruning relies on test.pathIgnorePatterns. This development prerequisite does not change Genie's existing CLI runtime floor.
bun run check
npm --prefix mikro run deps:ci
npm --prefix mikro run build
npm --prefix mikro run check
npm --prefix mikro test
mikro update is for a standalone Mikro Git worktree, including linked worktrees. It refuses the nested package before acquiring update ownership or changing Git state. Update the owning Genie source checkout explicitly instead; genie update remains the signed installed-release update path.
Superpowers, Spec Kit and GSD work the same ground. Each of their rows comes from that project's own README.
| What it says it is | Its loop | How it installs | |
|---|---|---|---|
| [Superpowers](https://github.com/obra/superpowers) | "a complete software development methodology for your coding agents, built on top of a set of composable skills" | brainstorming, writing plans, then executing them with subagents or inline, with code review and test-driven development | installed per harness, "separately for each one" |
| [Spec Kit](https://github.com/github/spec-kit) | "an open source toolkit that gives AI coding agents structured processes, reusable templates, and documented outcomes" | a constitution once per project, then specify, plan, tasks, implement and converge for each feature | uv tool install specify-cli |
| [GSD](https://github.com/open-gsd/gsd-core) | "a context-engineering and spec-driven development framework" that runs heavy work "in fresh-context subagents" | discuss, plan, execute, verify and ship, one phase at a time | npx @opengsd/gsd-core@latest |
| Genie | skills and saved workflows that keep plans in git, plus a CLI that keeps task state in one SQLite file | brainstorm, wish, work and review, with council beside it and a separate reviewer at each gate | one signed binary that installs the skills into every agent it detects |
genie创新性强,将需求对话转化为PR的全流程自动化方案独特且实用。代码质量和维护活跃度良好,适合现代AI驱动开发场景。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,genie MCP工具 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | genie |
| 原始描述 | 开源MCP工具:Wishes in, PRs out. CLI agent that interviews you, plans the work, dispatches pa。⭐315 · TypeScript |
| Topics | MCP工具AI代理代码生成PR自动化开发者工具 |
| GitHub | https://github.com/automagik-dev/genie |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-18 · 更新时间:2026-05-19 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。