invincat
Reduces context-switching overhead for developers by maintaining persistent task memory across CLI sessions, allowing agents to learn from prior work and avo…
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.
- Auto-generate boilerplate code from previous patterns in memory
- Debug recurring issues faster by recalling similar past failures
- Accelerate refactoring by learning codebase patterns over time
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.
https://github.com/dog-qiuqiu/invincat
By dog-qiuqiu
How to Get It
pip install invincat-cli # then: cd /path/to/your/project && invincat-cli (run /model on first launch to configure a provider)
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me auto-generate boilerplate code from previous patterns in memory
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Invincat-CLI: A Self-Learning Agent That Gets Smarter as You Use It — Hacker News · 1 pts
- Invincat – terminal AI coding agent with tiered, auditable long-term memory — Hacker News · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 153 GitHub stars; 3 contributors; last commit 84d ago; license MIT.
Things to check
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 153 GitHub stars; 3 contributors; last commit 84d ago; license MIT.