dog-qiuqiu

dog-qiuqiu / invincat

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A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

agent agent-skills agentic-ai agentic-workflow ai
23
3
100% credibility
Found Apr 27, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Invincat CLI is a terminal-based AI assistant that helps with programming tasks directly in your project directory by reading and editing files, running commands, searching the web, and remembering preferences across sessions.

How It Works

1
🔍 Discover your coding helper

You hear about a friendly AI that works right in your project folder to help with code.

2
📥 Get it set up

With one simple step, you bring the AI helper into your computer.

3
📂 Open in your project

Go to your project's folder and start chatting with the AI.

4
🤖 Pick your AI brain

Choose which smart AI to team up with for thinking and helping.

5
💬 Ask for coding magic

Tell the AI what you need help with, like fixing bugs or adding features.

6
✅ Review and approve changes

See the AI's safe suggestions for files and commands, then say yes to apply them.

7
🧠 It remembers your style

The AI learns your preferences and project ways for next time.

🎉 Your project shines

Your code improves effortlessly with your new AI partner always ready to help.

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AI-Generated Review

What is invincat?

Invincat is a native Python CLI for AI-powered coding assistance that runs directly in your project directory. It lets you collaborate with agents for file edits, shell commands, web searches, and more, with built-in approvals, plan review mode, and persistent memory across sessions via simple JSON stores. Built on DeepAgents and Textual for a terminal-native UI, it handles long contexts through micro-compression and offloading, keeping workflows fast without browser or IDE switches.

Why is it gaining traction?

Unlike web-based AI tools, invincat stays terminal-native, gating risky actions like file writes or shell runs behind approvals while offering auto-approve for trusted flows. Hierarchical memory captures project conventions and user prefs automatically, inspectable via /memory, reducing repetitive explanations. Slash commands like /plan, /threads, and /skill make it a native Python task runner rivaling n8n for dev workflows, with extensible skills and subagents.

Who should use this?

Backend and fullstack devs grinding in local repos, especially those on macOS or preferring native Python REPL-style invocation over VS Code extensions. Teams reviewing AI-generated changes before merge, or solo coders building prototypes with guarded shell access. Ideal for Python-heavy stacks needing quick web research or code reviews without leaving the terminal.

Verdict

Try it if you're evaluating native Python apps for GitHub workflows—23 stars and 1.0% credibility signal early alpha, with solid docs but no automerge or tests visible. Promising for terminal diehards, but wait for polish unless you want to contribute.

(198 words)

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