AI Skill Hub 强烈推荐:智能工作流 是一款优质的Agent工作流。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案,这是一个值得深入了解的选择。
智能工作流 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。
智能工作流 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 imcodes # 方式二:npx 直接运行(无需安装) npx imcodes --help # 方式三:项目依赖安装 npm install imcodes # 方式四:从源码运行 git clone https://github.com/im4codes/imcodes cd imcodes npm install npm start
# 命令行使用
imcodes --help
# 基本用法
imcodes [options] <input>
# Node.js 代码中使用
const imcodes = require('imcodes');
const result = await imcodes.run(options);
console.log(result);
# imcodes 配置说明 # 查看配置选项 imcodes --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 IMCODES_CONFIG="/path/to/config.yml"
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The IM for agents. AI remote desktop, shared memory, OpenSpec Auto Deliver, managed MCP tools, supervised execution, and cross-agent audit across AI providers.
Two heads are better than one.<br> But minds in concert don't answer fate, they author it.<br> — IM.codes
IM.codes connects AI agents not only to coding sessions, but also to the computers where work happens. Enroll supported machines as restricted Controlled Nodes, then let an authorized agent directly operate one or many computers with scoped commands, file transfer, and typed Computer Use. When a person needs to see or take over, capable Windows nodes also provide browser-based remote desktop from desktop or mobile.
Alongside machine control, IM.codes gives coding agents one shared memory layer and one managed MCP tool surface across providers. It turns completed work into reusable context across Claude Code, Codex, Gemini CLI, GitHub Copilot, Cursor, OpenCode, OpenClaw, Qwen, and more. Terminal access, file and Git views, localhost preview, notifications, multi-agent workflows, OpenSpec Auto Deliver, Auto supervision, and cross-provider Team audit keep both human and agent work visible and connected.
Disclaimer: This is an actively developed personal open-source project. There are no warranties, no SLA, and no guarantees of stability, security, or backward compatibility. Use at your own risk.
This is a personal project. I haven't written any code myself — it was built almost entirely by Claude Code, with significant contributions from Codex and Gemini CLI.
npm install -g imcodes — no extra software needed. WSL also works.imcodes send "Claude" "tests failed on main, check CI log at /tmp/ci.log and fix" --reply ```
Use cases: log monitoring → auto-fix, webhook-triggered code review, CI failure auto-diagnosis, scheduled data pipeline checks, custom approval workflows with output written to specific files for human review.
npm install -g imcodes
Deploy server + daemon on a single machine. Requires Docker and a domain with DNS pointing to the server.
npm install -g imcodes
mkdir imcodes && cd imcodes
imcodes setup --domain imc.example.com
This generates all config, starts PostgreSQL + server + Caddy with automatic HTTPS, creates the admin account, and binds the local daemon — all in one step. Credentials are printed at the end.
To connect additional machines:
npm install -g imcodes
imcodes bind https://imc.example.com/bind/<api-key>
If you prefer to configure manually:
git clone https://github.com/im4codes/imcodes.git && cd imcodes
./gen-env.sh imc.example.com # generates .env with random secrets, prints admin password
docker compose up -d
The generated docker-compose.yml already uses pgvector/pgvector:pg18 for PostgreSQL.
Login at https://your-domain with admin and the printed password. Bind your dev machine with imcodes bind.
npm install -g imcodes
imcodes bind https://app.im.codes/bind/<api-key>
Self-hosting is strongly recommended. The shared instance at app.im.codes is for testing only — it comes with no uptime guarantees, may be rate-limited, and could be targeted. This is a personal project with no commercial support. For anything beyond evaluation, deploy the server on your own infrastructure.
Use app.im.codes for evaluation, or self-host for anything real.
imcodes bind https://app.im.codes/bind/<api-key>
This binds your machine, starts the daemon, registers it as a system service, and brings the machine into the web/mobile dashboard.
If the daemon stops after an auto-upgrade, regenerate the launch chain:
imcodes repair-watchdog
This rewrites the watchdog script and scheduled task with the current Node.js and imcodes paths. Needed after Node.js version switches (nvm, fnm) or if the daemon won't restart after upgrade.
If imcodes is "not recognized as internal or external command" after upgrade, the npm global directory may not be on your PATH. Fix it:
npm prefix -g
Copy the output path and add it to your PATH:
setx PATH "<npm-prefix-path>;%PATH%"
Then open a new terminal window.
Check the daemon watchdog log for errors:
%USERPROFILE%\.imcodes\watchdog.log
高质量的智能工作流项目,值得关注
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✅ 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。
总体来看,智能工作流 是一款质量优秀的Agent工作流,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | imcodes |
| 原始描述 | 开源AI工作流:The IM for agents. Shared Agent Context & Memory, supervised execution, and cros。⭐392 · TypeScript |
| Topics | aiai-agentsautomationtypescript |
| GitHub | https://github.com/im4codes/imcodes |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-06-17 · 更新时间:2026-06-20 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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