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invincat

Skill Productivity Usable

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.

303 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces context-switching overhead for developers by maintaining persistent task memory across CLI sessions, allowing agents to learn from prior work and avoid repeated problem-solving.

Development teams using Python who need an AI coding assistant that retains context across multiple tasks and can incrementally improve its assistance.

Claude Code Claude Cowork Claude Chat

https://github.com/dog-qiuqiu/invincat

By dog-qiuqiu

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install dog-qiuqiu/invincat

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars303Last updated2026-05-18LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Hacker News

21 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 303 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 303 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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