AI-Powered Command Line Agent — Describe what you want, it executes for you
Project description
aiCLI — AI-Powered Command Line Agent
You speak, it executes. Describe what you want in natural language — aiCLI plans the steps, runs the commands, and handles errors autonomously.
爱 CLI — Because nobody remembers all those commands.
爱 CLI — 因为没人记得住那么多命令。
😤 Sound Familiar?
- Can't remember the exact
grep/awk/sedflags to extract that field? - Every time you install software, you Google the tutorial? Docker, Nginx, MySQL — all different?
- Staring at the terminal, unsure what command to type next?
- You're great at Java/Python/Frontend, but Linux sysadmin is not your thing?
aiCLI is built for developers who just want to get things done — without memorizing a thousand commands.
$ aicli --local
aicli> install Docker and Docker Compose
==================================================
1. Check existing Docker installation — 5s — safe
2. Install Docker Engine — 60s — low risk
3. Install Docker Compose plugin — 30s — low risk
4. Verify installation — 5s — safe
==================================================
Confirm execution plan? [Y]: Y
──────────────────────────────────────────────────
Step 1
GOAL: Check if Docker is already installed
CMD: docker --version
RISK: safe * [auto-execute]
──────────────────────────────────────────────────
[auto] executing...
[OK] | 200ms
... (aiCLI continues through all steps autonomously)
==================================================
[DONE] | 4 commands executed
Docker v27.3.1 and Docker Compose v2.29.7 installed successfully
Three Scenarios, One Tool
| Scenario | Command | Description |
|---|---|---|
| Local Machine | aicli --local |
Execute commands on your own computer |
| Remote Linux | aicli --host 192.168.1.100 --user root |
SSH into any Linux server |
| Remote Windows | aicli --host 10.0.0.5 --user administrator |
SSH into Windows (OpenSSH Server required) |
Quick Start
Option 1: Install via pip / uv (Recommended)
pip install ai-cli
# or
uv tool install ai-cli
# Run
aicli --local
Option 2: Run from Source
git clone https://github.com/yanzhangyanyan/ai-cli.git
cd ai-cli
uv sync
uv run aicli --local
Prerequisites
| Dependency | Version | Notes |
|---|---|---|
| Python | ≥ 3.11 | Runtime |
| LLM API | Any OpenAI-compatible | ChatGPT, GLM, Ollama, LiteLLM, etc. |
Features
| Feature | Description |
|---|---|
| Natural Language → Execution | Describe what you want, aiCLI plans and executes |
| Autonomous Planning | Receives task → outputs full plan → confirms → executes step by step |
| Auto / Confirm Modes | Low-risk operations auto-execute; high-risk operations ask first |
| Error Self-Healing | If a step fails, aiCLI analyzes the error and tries an alternative |
| Safe by Design | Code-level safety net: rm -rf, mkfs, reboot always require confirmation |
| Cross-Platform | Local (Windows/Linux/macOS), Remote Linux, Remote Windows |
| Dual Mode | Standalone CLI + MCP Server (embed into any AI agent) |
| Context Memory | Set project context; agent remembers across tasks |
| Smart Compression | 200-step long tasks auto-summarize early steps to stay within token limits |
| Bilingual | English and Chinese UI — select on first run |
| Connection Diagnostics | If SSH fails, tells you exactly why and how to fix it |
Usage
Interactive CLI
# Local mode
aicli --local
# Remote SSH
aicli --host 192.168.1.100 --user root --password secret
# With options
aicli --local --llm https://api.openai.com/v1 --model gpt-4o
Inside aiCLI
aicli> install nginx
aicli> check disk space and clean up /tmp if over 80%
aicli> configure UFW firewall: allow 80, 443, deny 3306
aicli> deploy this docker-compose.yml and make sure all containers are healthy
MCP Server Mode
aiCLI can be embedded into any MCP-compatible AI agent (opencode, Claude Desktop, etc.):
{
"mcpServers": {
"aicli": {
"type": "local",
"command": ["aicli", "serve"],
"environment": {
"AICLI_LLM_BASE_URL": "https://api.openai.com/v1",
"AICLI_LLM_API_KEY": "sk-...",
"AICLI_LLM_MODEL": "gpt-4o"
},
"timeout": 60000
}
}
}
CLI Commands
local Local mode (no SSH needed)
connect <user@host> [password] Connect to remote host
disconnect Disconnect
exec <command> Execute a single command manually
file_read <path> Read a file
file_write <path> <content> Write to a file
probe Detect system info
run <description> Agent plans and executes
<free text> Just type what you want (same as run)
config View config
config model [name] Switch model
config thinking [on|off] Toggle thinking mode
config setup Reconfigure wizard
context <description> Set project context
Configuration
Config Priority
CLI args (--llm, --model) > Environment vars (AICLI_LLM_*) > Config file
Supported LLM Providers
Any OpenAI-compatible API:
| Provider | Base URL | Notes |
|---|---|---|
| OpenAI | https://api.openai.com/v1 |
GPT-4o, etc. |
| GLM (Zhipu) | https://open.bigmodel.cn/api/paas/v4 |
GLM-4, GLM-5 |
| Ollama (local) | http://localhost:11434/v1 |
Any local model |
| LiteLLM (proxy) | http://localhost:4000/v1 |
Unified gateway |
License
GNU Affero General Public License v3.0 (AGPL-3.0) — free to use and modify, but all derivative works must also be open source. Cloud service providers using modified versions must provide source code to users.
😤 是不是很熟悉?
- 记不住
grep/awk/sed的各种参数组合? - 每次装软件都要搜教程?Docker、Nginx、MySQL 配置各不同?
- 对着终端发呆,不知道下一步该敲什么?
- Java/前端写得溜,但 Linux 命令行是你的噩梦?
aiCLI 专为"只想把活干完,不想背一千条命令"的开发者而生。
$ aicli --local
aicli> 安装 Docker 和 Docker Compose
==================================================
1. 检查现有 Docker 安装 — 5s — 安全
2. 安装 Docker Engine — 60s — 低风险
3. 安装 Docker Compose 插件 — 30s — 低风险
4. 验证安装 — 5s — 安全
==================================================
确认执行此方案?[Y]: Y
──────────────────────────────────────────────────
Step 1
GOAL: 检查是否已安装 Docker
CMD: docker --version
RISK: 安全 * [自动执行]
──────────────────────────────────────────────────
[auto] executing...
[OK] | 200ms
... (aiCLI 自动继续执行后续步骤)
==================================================
[DONE] | 4 commands executed
Docker v27.3.1 和 Docker Compose v2.29.7 安装成功
三个场景,一个工具
| 场景 | 命令 | 说明 |
|---|---|---|
| 本机执行 | aicli --local |
在你自己的电脑上智能执行命令,无需 SSH |
| 远程 Linux | aicli --host 192.168.1.100 --user root |
SSH 连接任意 Linux 服务器 |
| 远程 Windows | aicli --host 10.0.0.5 --user administrator |
SSH 连接 Windows(需安装 OpenSSH Server) |
快速开始
方式一:pip / uv 安装(推荐)
pip install ai-cli
# 或者
uv tool install ai-cli
# 运行
aicli --local
方式二:源码运行
git clone https://github.com/yanzhangyanyan/ai-cli.git
cd ai-cli
uv sync
uv run aicli --local
前提条件
| 依赖 | 版本 | 说明 |
|---|---|---|
| Python | ≥ 3.11 | 运行时 |
| LLM API | 任何 OpenAI 兼容接口 | ChatGPT、智谱 GLM、Ollama、LiteLLM 等 |
核心特性
| 特性 | 说明 |
|---|---|
| 自然语言 → 自动执行 | 说人话,aiCLI 自动规划并执行 |
| 自主规划 | 收到任务后输出完整方案,确认后逐步执行 |
| 自动/确认模式 | 低风险操作自动执行,高风险操作需确认 |
| 错误自修复 | 步骤失败时自动分析原因,换方案重试 |
| 安全设计 | 代码层安全网:rm -rf、mkfs、reboot 强制确认 |
| 跨平台 | 本机(Windows/Linux/macOS)、远程 Linux、远程 Windows |
| 双模式 | 独立 CLI + MCP Server(可嵌入任意 AI 智能体) |
| 上下文记忆 | 设置项目上下文,跨任务记忆不丢失 |
| 智能压缩 | 200 步长任务自动摘要,不爆 token |
| 中英双语 | 首次运行选择语言,全程中文/英文界面 |
| 连接诊断 | SSH 失败时告诉你原因和修复方法 |
使用方法
交互式 CLI
# 本机模式
aicli --local
# 远程 SSH
aicli --host 192.168.1.100 --user root --password 密码
# 指定 LLM
aicli --local --llm https://api.openai.com/v1 --model gpt-4o
在 aiCLI 内部
aicli> 安装 nginx
aicli> 检查磁盘空间,超过 80% 就清理 /tmp
aicli> 配置防火墙:放行 80、443,拒绝 3306
aicli> 部署 docker-compose.yml,确保所有容器健康运行
MCP Server 模式
aiCLI 可以嵌入任何支持 MCP 协议的 AI 智能体(opencode、Claude Desktop 等):
{
"mcpServers": {
"aicli": {
"type": "local",
"command": ["aicli", "serve"],
"environment": {
"AICLI_LLM_BASE_URL": "https://api.openai.com/v1",
"AICLI_LLM_API_KEY": "sk-...",
"AICLI_LLM_MODEL": "gpt-4o"
},
"timeout": 60000
}
}
}
CLI 命令
local 本机模式(无需 SSH)
connect <user@host> [密码] 连接远程主机
disconnect 断开连接
exec <命令> 手动执行单条命令
file_read <路径> 读取文件
file_write <路径> <内容> 写入文件
probe 探测系统信息
run <任务描述> Agent 规划并执行
<自然语言> 直接输入(等同于 run)
config 查看配置
config model [名称] 切换模型
config thinking [on|off] 切换思考模式
config setup 重新配置向导
context <描述> 设置项目上下文
配置
配置优先级
命令行参数 (--llm, --model) > 环境变量 (AICLI_LLM_*) > 配置文件
支持的 LLM
任何 OpenAI 兼容 API:
| 提供商 | 地址 | 说明 |
|---|---|---|
| OpenAI | https://api.openai.com/v1 |
GPT-4o 等 |
| 智谱 GLM | https://open.bigmodel.cn/api/paas/v4 |
GLM-4、GLM-5 |
| Ollama(本地) | http://localhost:11434/v1 |
任意本地模型 |
| LiteLLM(代理) | http://localhost:4000/v1 |
统一网关 |
许可证
GNU Affero General Public License v3.0 (AGPL-3.0) — 自由使用和修改,但所有衍生作品必须开源。云服务商使用修改版本必须向用户提供源代码。
aiCLI — 爱CLI
因为命令应该听懂你,而不是反过来。
Because commands should understand you, not the other way around.
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