When LLMs use the Internet instead of the local documentation on the computer its running on, they make all kinds of mistakes: compatibility and deprecated usage, missing obvious things. context7 fixes this only for things in context7. What about everything else? Get your models to use the right documentation, locally, for the software you actually have, effeciently. Mansnip, part of the DAY50 suite of open-source tools for AI workflows, solves the problem of irrelevant documentation going to the context window.
| Stars | 96 |
| Forks | 8 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 65.8466035085555/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-29 |
| Created | 2020-04-20 |
| Platforms | python |
| Est. Tokens | ~16k |
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llm-manpage-tool is Inject relevant documentation into your prompts: 98% savings.. It is categorized as a AI Tool with 96 GitHub stars.
llm-manpage-tool is primarily written in Python. It covers topics such as context-window, documentation, llm.
You can find installation instructions and usage details in the llm-manpage-tool GitHub repository at github.com/day50-dev/llm-manpage-tool. The project has 96 stars and 8 forks, indicating an active community.
llm-manpage-tool is released under the MIT license, making it free to use and modify according to the license terms.