Invincat 是一款终端原生的本地代码编码助手。它可以检查和编辑文件，获得批准运行 shell 命令，使用网页/MCP 工具，保持长期记忆，执行前计划，执行定时任务，并将远程 WeCom 消息桥接到项目会话中。

特色

• 直接在终端界面中的项目目录中工作。
• 通过批准门槛工具执行，读取、编辑和创建文件。
• 在可配置的安全控制下运行shell命令。
• 在实施前使用 /plan 审查并批准执行计划。
• 在会话间保持用户和项目内存。
• 用自然语言创建重复或一次性定时任务。
• 通过MCP工具、技能和WeCom机器人守护进程集成扩展能力。

快速启动

首次发布时，运行/model配置供应商和型号。

安装

需要 Python 3.11+。

从源头安装：

开始

从你的项目目录运行Invincat：

模型配置

第一次启动后，运行/model以打开模型管理器。

• 按Ctrl+N注册模型。
• 填写提供者、型号名称、API 密钥和可选的基础 URL。

Invincat

Invincat is a terminal-native AI coding assistant for local repositories. It can inspect and edit files, run shell commands with approval, use web/MCP tools, keep long-term memory, plan before execution, run scheduled tasks, and bridge remote WeCom messages into a project session.

Features

• Work directly from your project directory in a terminal UI.
• Read, edit, and create files with approval-gated tool execution.
• Run shell commands under configurable safety controls.
• Use /plan to review and approve an execution plan before implementation.
• Keep user and project memory across sessions.
• Create recurring or one-shot scheduled tasks in natural language.
• Extend capabilities through MCP tools, skills, and WeCom bot daemon integration.

Quick Start

pip install invincat-cli
cd /path/to/your/project
invincat-cli

On first launch, run /model to configure a provider and model.

Installation

Requires Python 3.11+.

pip install invincat-cli

Install from source:

git clone https://github.com/dog-qiuqiu/invincat.git
cd invincat
pip install -e .

Start

Run Invincat from your project directory:

cd /path/to/your/project
invincat-cli

Model Configuration

After the first launch, run /model to open the model manager.

• Press Ctrl+N to register a model.
• Fill in the provider, model name, API key, and optional base URL.
• Select a model and press Enter to activate it.

You can also provide credentials through environment variables such as:

export OPENAI_API_KEY="..."
export ANTHROPIC_API_KEY="..."
export GOOGLE_API_KEY="..."
export DEEPSEEK_API_KEY="..."
export OPENROUTER_API_KEY="..."

Example for DeepSeek:

export DEEPSEEK_API_KEY="sk-..."

Then register a model in /model with:

Invincat supports a primary model for normal work and an optional memory model for post-turn memory extraction. If no memory model is configured, memory extraction uses the current primary model.

Basic Commands