caveman vs awesome-RLHF
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| caveman | awesome-RLHF | |
|---|---|---|
| Tagline | Cuts 65% of tokens in AI coding agent responses. | A curated list of reinforcement learning with human feedback resources |
| Stars | 86k | 4.4k |
| Forks | 4.8k | 254 |
| Open issues | 370 | 4 |
| Language | JavaScript | - |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 3, 2026 | May 20, 2026 |
| Categories | Developer Tools, LLM Frameworks | Developer Tools |
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
awesome-RLHF
Repository containing research papers, codebases, datasets, and blogs related to Reinforcement Learning with Human Feedback (RLHF). It covers advancements in RLHF with an emphasis on large language models and video games.