经 AI Skill Hub 精选评估,代码智能助手 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
自动化AI工作流,读取项目、运行命令、写入代码
代码智能助手 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
自动化AI工作流,读取项目、运行命令、写入代码
代码智能助手 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g codeep # 方式二:npx 直接运行(无需安装) npx codeep --help # 方式三:项目依赖安装 npm install codeep # 方式四:从源码运行 git clone https://github.com/VladoIvankovic/Codeep cd Codeep npm install npm start
# 命令行使用
codeep --help
# 基本用法
codeep [options] <input>
# Node.js 代码中使用
const codeep = require('codeep');
const result = await codeep.run(options);
console.log(result);
# codeep 配置说明 # 查看配置选项 codeep --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 CODEEP_CONFIG="/path/to/config.yml"
<p align="center"> <img src="Codeep.svg" alt="Codeep Logo" width="200"> </p>
<p align="center"> <strong>Deep into Code.</strong> </p>
<p align="center"> <img src="promo/sources/tui-current.png" alt="Codeep terminal UI with agent timeline, changed files, checks, and resource estimates" width="1000"> </p>
<p align="center"> Autonomous AI coding agent that reads your project, runs commands, and writes & verifies code — deeper than autocomplete. Any model (Claude, Gemini, DeepSeek, GLM, OpenAI, or your own local/custom), in the terminal and your editor. </p>
<p align="center"> <a href="https://www.npmjs.com/package/codeep"><img src="https://img.shields.io/npm/v/codeep.svg" alt="npm version"></a> <a href="https://www.npmjs.com/package/codeep"><img src="https://img.shields.io/npm/dm/codeep.svg" alt="npm downloads"></a> <a href="https://github.com/VladoIvankovic/Codeep/blob/main/LICENSE"><img src="https://img.shields.io/npm/l/codeep.svg" alt="license"></a> </p>
/settings/tasks add and /tasks doneRun the test suite, build, then npm run deploy:staging. If the build fails, surface the error and stop — don't deploy a broken build. ```
A long description can also be a folded (>) or literal (|) block. Files a skill refers to, such as a reporting.md guide, sit next to its SKILL.md: invoke_skill tells the agent the skill's directory and reads them from there.
The agent gets the bundle catalog injected into its system prompt on every iteration and can invoke any bundle via the invoke_skill tool:
/skills bundles — list installed bundles/skills create-bundle <name> — scaffold a new project skill/skills show <name> — print the SKILL.md/skills browse [query] — search the public marketplace/skills install <owner>/<slug> — pull from marketplace/skills publish <name> [--public] — share to codeep.dev/skills unpublish <owner>/<slug> — remove your published skillWeb marketplace: publish skills to codeep.dev/skills as public (browseable by anyone) or private (only you). Manage your published skills at /dashboard/skills. From the VS Code extension, use the Codeep: Browse Skill Bundles… / Codeep: Create Skill Bundle… / Codeep: Open Skills Folder commands.
curl -fsSL https://github.com/VladoIvankovic/Codeep/releases/latest/download/codeep-macos-arm64 -o codeep chmod +x codeep sudo mv codeep /usr/local/bin/ ```
```bash
npm install -g codeep
Update:
npm update -g codeep
For a machine without Node. The script is served from codeep.dev and fetched from this repository's newest release, so the command does not change if the repository moves.
curl -fsSL https://codeep.dev/install.sh | bash
Custom installation directory:
curl -fsSL https://codeep.dev/install.sh | INSTALL_DIR=~/.local/bin bash
Specific version:
curl -fsSL https://codeep.dev/install.sh | VERSION=3.1.1 bash
Download the latest binary for your platform from GitHub Releases:
| Platform | Binary |
|---|---|
| macOS Apple Silicon (M1/M2/M3/M4) | codeep-macos-arm64 |
| macOS Intel | codeep-macos-x64 |
| Linux x86_64 | codeep-linux-x64 |
```bash
You write safe, reversible DB migrations… ```
tools is an allowlist enforced at dispatch (a researcher literally can't write files). Sub-agents inherit your profile + project rules, and their changes are covered by /undo.
Guaranteed review: enable Agent Auto-Review in /settings (agentAutoReview) and after any run that changes files, Codeep automatically delegates to the reviewer and appends its findings — a review stage that always happens; a reviewer that writes nothing is shown as "(the reviewer finished without writing a review)". Off by default.
codeep-min-version: 2.0.0 codeep-requires-mcp: [postgres] allowed-tools: [read_file, write_file, execute_command]
When enabled in Settings, the agent can automatically verify its changes by running build, tests, or type checking after completing a task. Disabled by default — the agent works freely and you decide when to verify.
Configure in Settings → Agent Auto-Verify: - Off (default) — no automatic verification - Build only — checks compilation after changes - Typecheck only — runs TypeScript/PHP type checking - Test only — runs test suite after changes - Build + Typecheck + Test — full verification
If errors are found, the agent tries to fix them automatically (up to 3 attempts, configurable).
Supported project types:
| Language | Build | Test | Type Check |
|---|---|---|---|
| **Node.js/TypeScript** | npm/yarn/pnpm/bun run build | npm test, vitest, jest | tsc --noEmit |
| **Python** | - | pytest | - |
| **Go** | go build | go test | - |
| **Rust** | cargo build | cargo test | - |
| **PHP/Laravel** | composer run build | phpunit, artisan test | php -l (syntax) |
account sync / account push also carry your personalities and custom slash commands between machines — the Markdown files in ~/.codeep/personalities/ and ~/.codeep/commands/:
codeep account push # Upload local personalities + commands to codeep.dev
codeep account sync # Download them onto a new machine
A manual sync treats the dashboard personality as current. When a changed cloud personality replaces a local file, Codeep first saves the local version under ~/.codeep/backups/personalities/ and then swaps the new file in atomically. Custom commands keep the older additive merge and are never overwritten by a pull. View and edit custom bots in Agent Studio, and prune commands under Custom commands, on the dashboard.
Hooks and MCP server configs are deliberately not synced: hooks run arbitrary shell, and MCP configs often embed tokens, so both stay local to each machine.
| Command | Description |
|---|---|
/provider | Switch AI provider |
/model | Switch AI model |
/model <name> | Load a saved profile shortcut (e.g. /model fast) |
/protocol | Switch API protocol (OpenAI/Anthropic) |
/lang | Set response language (12 languages supported) |
/settings | Adjust temperature, max tokens, timeout, rate limits |
/profile save <name> | Save current provider+model as a named profile |
/profile load <name> | Load a saved profile |
/profile <name> | Shorthand for /profile load <name> |
/profile list | List all saved profiles |
/profile delete <name> | Delete a saved profile |
/cost /stats | Show session token usage and estimated API cost per model |
Model favorites — save provider+model combos and switch instantly:
> /provider # switch to z.ai
> /model glm-5.2
> /profile save fast
> /provider # switch to openai
> /model gpt-5.6-sol
> /profile save work
> /model fast # instantly switch to z.ai / glm-5.2
> /model work # instantly switch to openai / gpt-5.6-sol
API keys are opt-in: they stay in your OS keychain until you turn on cloud key sync, with /keysync on or from the shell. Synced keys are stored server-readable on codeep.dev — encrypted at rest using AES-256-GCM, with a key the server holds. Add keys once on the dashboard, then sync them to any machine:
codeep account sync --keys # Turn on key sync and pull your keys — a new machine's first step
codeep account sync # Pull keys (when key sync is on) + config from codeep.dev → local
codeep account push # Push this machine's stored keys (when key sync is on) + config → codeep.dev
--keys shows the same note as /keysync on before turning it on, and key sync stays on afterwards. On a terminal, on a machine with no API key yet, `codeep account sync without --keys` asks first (No by default); a machine that already has a key, a script, a pipe and CI are never asked, only told the command to run. Keys pressed before a question appears never answer it, and Ctrl+C at a question cancels the sync with nothing pulled. After a pull on a terminal, or with --keys, if the provider Codeep would start on has no key (one in the environment counts), it switches to the first of the pulled keys' providers in the order /provider lists them, so the next codeep opens the chat rather than the provider picker. Without a system keychain the keys are stored in plain text in the config file, and the sync says so. codeep account offers this sync as soon as it has linked the machine.
With key sync on, codeep account push uploads the API keys stored on this machine — in the system keychain, or the plain-text fallback — and never a key read from an environment variable; it names the providers it left out for that reason. /keysync off turns key sync off again, codeep account purge-keys deletes the keys stored on codeep.dev, and CODEEP_NO_KEY_SYNC=1 keeps it off whatever the setting says.
/diff - Review unstaged changes with AI assistance/diff --staged - Review staged changes/commit - Generate conventional commit messages| Command | Description |
|---|---|
/diff | Review unstaged git changes |
/diff --staged | Review staged git changes |
/commit | Generate commit message for staged changes |
/git-commit [msg] | Commit current changes with message |
/push | Push to remote repository |
/pull | Pull from remote repository |
Codeep 是一个自主的 AI 编程代理,能够读取您的项目,运行命令,写入和验证代码。它比自动完成更深入,支持多种编程语言和模型(包括 Claude、Gemini、DeepSeek、GLM 和 Op)。
Codeep 提供了多项安全功能,包括 API 密钥的安全存储(macOS Keychain / Linux Secret Service)、项目权限控制(读取或写入)、输入验证和清理、可配置的速率限制、代理沙盒化到项目目录以及危险命令的阻止(rm -rf /、sudo 等)。
安装 Codeep 需要以下步骤:1. 全局安装 Codeep:npm install -g codeep 2. 在 Zed 的 settings.json 中添加 Codeep 配置:"agent_servers": { "Codeep": { "type": "custom", "command": "codeep", "args": ["acp"] } } 3. 确保您的 API 密钥已设置在 Zed 使用的环境中:export DEEPSEEK_API_KEY=your_key # 或者使用其他提供商 4. 在 Zed 的 AI 面板中选择 Codeep 作为代理。
使用 Codeep 的示例包括:在 macOS Apple Silicon 上使用 curl 命令下载 Codeep 二进制文件并将其安装到 /usr/local/bin 中。
Codeep 的配置包括 maxIterations(可选的预算)、tools(允许列表,用于防止研究人员写入文件)以及 agentAutoReview(自动审查功能)等。
Codeep 提供了 API 密钥的同步功能,允许您在 Codeep.dev 上添加密钥,然后在任何机器上同步它们:codeep account sync # 从 codeep.dev 拉取密钥和配置 codeep account push # 将本地密钥和配置推送到 codeep.dev
Codeep 支持 Git 集成,包括 /diff(查看未暂存的更改)、/diff --staged(查看暂存的更改)、/commit(生成规范的提交消息)以及 /git-commit [msg](提交当前更改)等命令。它还支持 Zed 编辑器集成(ACP),允许您在 Zed 中直接使用 Codeep 作为 AI 编程代理。
高潜力自动化AI工作流工具
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。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
AI Skill Hub 点评:代码智能助手 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | Codeep |
| 原始描述 | 开源AI工作流:An autonomous AI agent that reads your whole project, runs commands, and writes 。⭐20 · TypeScript |
| Topics | aiai-agenttypescriptcli-app |
| GitHub | https://github.com/VladoIvankovic/Codeep |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-06-09 · 更新时间:2026-06-11 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端