caveman vs MiniMax-M1
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| caveman | MiniMax-M1 | |
|---|---|---|
| Tagline | Cuts 65% of tokens in AI coding agent responses. | MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. |
| Stars | 86k | 3.2k |
| Forks | 4.8k | 283 |
| Open issues | 370 | 30 |
| Language | JavaScript | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 3, 2026 | Jul 7, 2025 |
| Categories | Developer Tools, LLM Frameworks | LLM Frameworks |
caveman
A skill/plugin for various AI agents, including Claude Code and other platforms, reducing output tokens for more concise, direct communication while maintaining accuracy.
JavaScript
MiniMax-M1
MiniMax-M1 is an innovative large-scale hybrid-attention reasoning model designed to advance the capabilities of language models and AI agents. It is released in an effort to contribute to the open-source community by providing a robust foundation for research and development in natural language understanding, reasoning, and general machine learning tasks.
Python