能力标签
代码智能助手
⚙️
Agent工作流

代码智能助手

基于 TypeScript · 无代码搭建完整 AI 自动化流程
英文名:Codeep
⭐ 20 Stars 🍴 1 Forks 💻 TypeScript 📄 Apache-2.0 🏷 AI 8.0分
8.0AI 综合评分
aiai-agenttypescriptcli-app
✦ AI Skill Hub 推荐

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。

📚 深度解析

代码智能助手 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升,基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化(模拟鼠标键盘操作),AI Agent 工作流通过理解任务意图、动态规划执行路径,能够处理更复杂的非结构化任务。

代码智能助手 工作流的设计遵循"最小配置,最大复用"原则:核心逻辑已经封装好,用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制,在网络波动或 API 限速等情况下仍能稳定运行,适合作为生产环境的自动化基础设施。

在实际部署时,建议先在测试环境中运行 3-5 次,验证各个环节的输出结果符合预期,再部署到生产环境。AI Skill Hub 评分 8.0 分,是同类 Agent 工作流中的精选推荐。

📋 工具概览

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。

GitHub Stars
⭐ 20
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
Apache-2.0
AI 综合评分
8.0 分
工具类型
Agent工作流
Forks
1

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

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。

📌 核心特色
  • 可视化 Agent 工作流编排,无需编写复杂代码
  • 支持多步骤自动化任务链,实现全流程无人值守
  • 与外部 API、数据库和第三方服务无缝集成
  • 内置错误处理与自动重试机制,保障稳定运行
  • 提供可复用的自动化模板,快速在同类场景部署
🎯 主要使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 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
📋 安装步骤说明
  1. 访问 GitHub 仓库获取工作流文件
  2. 在对应平台(Dify / Flowise / Make 等)中找到「导入工作流」功能
  3. 上传工作流文件
  4. 按照提示配置必要的环境变量和 API Key
  5. 运行测试确认流程正常后投入使用
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 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);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# 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"
📑 README 深度解析 真实文档 完整度 81/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

Codeep

<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="Codeep.gif" alt="Codeep demo" width="700"> </p>

<p align="center"> Autonomous AI coding agent that reads your project, runs commands, and writes &amp; 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> <a href="https://github.com/VladoIvankovic/Codeep"><img src="https://img.shields.io/github/stars/VladoIvankovic/Codeep?style=social" alt="GitHub stars"></a> </p>

Features

Security Features

  • API keys stored securely (macOS Keychain / Linux Secret Service)
  • Per-project permissions (read-only or read-write)
  • Input validation and sanitization
  • Configurable rate limiting
  • Agent sandboxed to project directory
  • Dangerous commands blocked (rm -rf /, sudo, etc.)
  • Configurable confirmation per tool — choose which agent actions require approval via /settings

Dashboard features

  • Usage stats — total sessions, active this week, model/provider breakdown, token usage, estimated cost per model, 30-day trend
  • Projects — all projects Codeep was used in, with language tag and git indicator
  • Project archiving — hide projects from the list with one click
  • Tasks — create/complete bug, feature, and task items from the web or directly from the CLI with /tasks add and /tasks done
  • API key sync — store provider keys securely on codeep.dev, sync to any machine in one command
  • Personal config sync — personalities and custom slash commands sync across machines; view and prune them on the dashboard
  • Connected devices — see all machines linked to your account (hostname, last seen), revoke access per device

ACP capabilities

Codeep advertises the following ACP capabilities so Zed (and other ACP clients) can use them:

  • promptCapabilities.image — paste/drag images into chat for vision analysis.
  • promptCapabilities.embeddedContext — drag a file or pin a code selection into the chat and the actual file content is injected into the prompt (resource & resource_link blocks, 200 KB cap per file).
  • sessionCapabilities.list — exposes saved CLI sessions to ACP clients.
  • sessionCapabilities.resume — instant reconnect on panel reload without replaying history.
  • loadSession — restore a previous session by id.

Codeep also reads clientCapabilities.terminal from the client and routes shell commands through the editor's terminal when supported (so you see them in Zed's terminal panel), falling back to local execution otherwise.

deploy-staging

Run the test suite, build, then npm run deploy:staging. If the build fails, surface the error and stop — don't deploy a broken build. ```

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 skill

Web 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.

Installation

Setup

  1. Install Codeep globally:
npm install -g codeep
  1. Add to your Zed settings.json:
"agent_servers": {
  "Codeep": {
    "type": "custom",
    "command": "codeep",
    "args": ["acp"]
  }
}
  1. Make sure your API key is set in the environment Zed uses:
export DEEPSEEK_API_KEY=your_key   # or whichever provider
  1. Open Zed's AI panel and select Codeep as the agent.

Example for macOS Apple Silicon:

curl -fsSL https://github.com/VladoIvankovic/Codeep/releases/latest/download/codeep-macos-arm64 -o codeep chmod +x codeep sudo mv codeep /usr/local/bin/ ```

Quick Start

```bash

Usage Examples

maxIterations: 12 # optional budget

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. Off by default.

Optional Codeep-specific extensions:

codeep-min-version: 2.0.0 codeep-requires-mcp: [postgres] allowed-tools: [read_file, write_file, execute_command]

Self-Verification (Optional)

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:

LanguageBuildTestType Check
**Node.js/TypeScript**npm/yarn/pnpm/bun run buildnpm test, vitest, jesttsc --noEmit
**Python**-pytest-
**Go**go buildgo test-
**Rust**cargo buildcargo test-
**PHP/Laravel**composer run buildphpunit, artisan testphp -l (syntax)

Personal config sync

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

Merging is additivesync only writes files that don't already exist locally, so it never clobbers a personality or command you've edited on this machine. View what's synced (and prune stale entries) under Personalities and 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.

Option 1: curl (Quickest)

curl -fsSL https://raw.githubusercontent.com/VladoIvankovic/Codeep/main/install.sh | bash

Custom installation directory:

curl -fsSL https://raw.githubusercontent.com/VladoIvankovic/Codeep/main/install.sh | INSTALL_DIR=~/.local/bin bash

Specific version:

curl -fsSL https://raw.githubusercontent.com/VladoIvankovic/Codeep/main/install.sh | VERSION=1.0.0 bash

Option 2: Homebrew (macOS/Linux)

brew tap VladoIvankovic/codeep
brew install codeep

Update:

brew upgrade codeep

Option 3: npm

npm install -g codeep

Update:

npm update -g codeep

Option 4: Manual Binary

Download the latest binary for your platform from GitHub Releases:

PlatformBinary
macOS Apple Silicon (M1/M2/M3/M4)codeep-macos-arm64
macOS Intelcodeep-macos-x64
Linux x86_64codeep-linux-x64

```bash

AI Configuration

CommandDescription
/providerSwitch AI provider
/modelSwitch AI model
/model <name>Load a saved profile shortcut (e.g. /model fast)
/protocolSwitch API protocol (OpenAI/Anthropic)
/langSet response language (12 languages supported)
/settingsAdjust 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 listList all saved profiles
/profile delete <name>Delete a saved profile
/cost /statsShow 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-5.1
> /profile save fast

> /provider      # switch to openai
> /model gpt-4.1
> /profile save work

> /model fast    # instantly switch to z.ai / glm-5.1
> /model work    # instantly switch to openai / gpt-4.1

Configuration

Config Locations

TypeLocation
Global config~/.config/codeep/config.json
Project config.codeep/config.json
Global sessions~/.codeep/sessions/
Project sessions.codeep/sessions/
Global logs~/.codeep/logs/
Project logs.codeep/logs/

Environment Variables

VariableDescription
ZAI_API_KEYZ.AI (international) API key
ZAI_CN_API_KEYZ.AI China API key
OPENAI_API_KEYOpenAI API key
ANTHROPIC_API_KEYAnthropic Claude API key
DEEPSEEK_API_KEYDeepSeek API key
GOOGLE_API_KEYGoogle AI (Gemini) API key
MINIMAX_API_KEYMiniMax (international) API key
MINIMAX_CN_API_KEYMiniMax China API key

Settings (`/settings`)

SettingDefaultDescription
Temperature0.7Response creativity (0.0 - 2.0)
Max Tokens8192Maximum response length
API Timeout60000msRequest timeout
API Rate Limit30/minMax API calls per minute
Command Rate Limit100/minMax commands per minute
Agent ModeONON = agent runs automatically (requires write permission via /grant), Manual = use /agent
Agent API Timeout180000msTimeout per agent API call (auto-adjusted for complexity)
Agent Max Duration20 minMaximum time for agent to run (5-60 min)
Agent Max Iterations50Maximum agent iterations (10-500). Modern models finish typical tasks in 3–8 iterations — raise for large autonomous refactors.
Agent ConfirmationDangerousNever, Dangerous (default), or Always
Agent Auto-CommitOffAutomatically commit after agent completes
Agent BranchOffCreate new branch for agent commits
Agent Auto-VerifyOffOff, Build only, Typecheck only, Test only, or Build + Typecheck + Test
Agent Max Fix Attempts1Max attempts to auto-fix errors when Auto-Verify is enabled. More than 1 usually means the agent is stuck — bail and let the user decide.

API key sync

Add keys once on the dashboard, then sync them to any machine:

codeep account sync   # Pull keys + config from codeep.dev → local
codeep account push   # Push local keys + config → codeep.dev

Keys are encrypted at rest using AES-256-GCM.

On first run, enter your API key

Loading CLI sessions in Zed

Zed's left sidebar shows only sessions Zed itself created (one per "New Thread") — it does not auto-list sessions you saved from the CLI or from a previous Zed window. Two ways to access those:

Inside the chat (recommended):

/sessions                    # show all saved sessions for this workspace
/session load <name>         # restore one

When you open a fresh chat in Zed, Codeep also shows you the most recent CLI sessions for that project right in the welcome message, so you can switch with one command.

Via Zed's import modal:

Open Zed's command palette (Cmd+Shift+P) and search for "Import Threads". Codeep's saved sessions appear there as an importable list — once imported they show up in Zed's regular sidebar.

Git Integration

  • /diff - Review unstaged changes with AI assistance
  • /diff --staged - Review staged changes
  • /commit - Generate conventional commit messages

Git Integration

CommandDescription
/diffReview unstaged git changes
/diff --stagedReview staged git changes
/commitGenerate commit message for staged changes
/git-commit [msg]Commit current changes with message
/pushPush to remote repository
/pullPull from remote repository

Zed Editor Integration (ACP)

Codeep supports the Agent Client Protocol (ACP), letting you use it as an AI coding agent directly inside Zed.

Native chat & agent integration (new in 2.3)

  • @codeep chat participant — invoke Codeep from VS Code's built-in Chat view: type @codeep and ask, or @codeep /explain / @codeep /review with a selection. Answers come from your configured Codeep provider/model via the CLI (not VS Code's model picker), on an independent session.
  • #codeepSkills language-model tool — exposes your workspace's Codeep skill bundles (.codeep/skills/*/SKILL.md) to VS Code agent mode and #-references, so the native a

Configurable permissions (Zed & VS Code extension)

Via the agent settings panel you can toggle which tools ask for approval before running — same controls available in the TUI via /settings:

  • Confirm: delete_file — ON by default
  • Confirm: execute_command — ON by default
  • Confirm: write_file / edit_file — OFF by default

These apply in Dangerous confirmation mode (the default). Choose Always to confirm every action, or Never to skip all prompts.

VS Code Extension

Install Codeep from the VS Code marketplace. The extension is a thin UI around the CLI — all credentials and sessions live in the CLI's config (~/.config/codeep/config.json), so keys set anywhere are visible everywhere.

Set API keys without leaving VS Code

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run:

  • Codeep: Set API Key — pick a provider, paste the key, done. Writes into the CLI config, so running codeep in a terminal immediately sees the new key.
  • Codeep: Open Chat — open the Codeep sidebar.
  • Codeep: Review Current File — run /review <file> on the active editor.
  • Codeep: New Session — start a fresh session in the chat.

If you already set up keys in the CLI (or via the codeep.dev dashboard + codeep account sync), the extension picks them up automatically on first launch — no welcome prompt.

🎯 aiskill88 AI 点评 A 级 2026-06-09

高潜力自动化AI工作流工具

📚 实用指南(长尾问题)
适合谁
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
Codeep 中文教程Codeep 安装报错怎么办Codeep Agent 工作流Codeep 与同类工具对比Codeep 最佳实践Codeep 适合谁用

⚡ 核心功能

👥 适合谁
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)

👥 适合人群

自动化工程师和运维人员项目经理和业务分析师希望减少重复性工作的专业人士数字化转型团队

🎯 使用场景

  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同

⚖️ 优点与不足

✅ 优点
  • +Apache-2.0 协议,可免费商用
  • +大幅减少重复性人工操作
  • +可视化流程,清晰直观
  • +可扩展性强,支持复杂场景
⚠️ 不足
  • 初始配置和调试需投入一定时间
  • 强依赖外部服务的稳定性
  • 复杂场景需具备一定技术基础
⚠️ 使用须知

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。

📄 License 说明

✅ 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。

🔗 相关工具推荐

🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

请参考项目文档
💡 AI Skill Hub 点评

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。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ Apache-2.0 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 代码智能助手
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
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
🔗 原始来源
🐙 GitHub 仓库  https://github.com/VladoIvankovic/Codeep 🌐 官方网站  https://codeep.dev

收录时间:2026-06-09 · 更新时间:2026-06-09 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。