by dog-qiuqiu · Codex Skill · ★ 201
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 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 bash pip install invincat-cli cd /p
| Stars | 201 |
| Forks | 22 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.8534602544187/100 |
| Last Updated | 2026-05-26 |
| Created | 2026-04-16 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~933k |
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invincat is 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. It is categorized as a Codex Skill with 201 GitHub stars.
invincat is primarily written in Python. It covers topics such as agent, agent-skills, agentic-ai.
You can find installation instructions and usage details in the invincat GitHub repository at github.com/dog-qiuqiu/invincat. The project has 201 stars and 22 forks, indicating an active community.
invincat is released under the MIT license, making it free to use and modify according to the license terms.
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