serpro69/capy

4 stars · Last commit 2026-04-23

🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access.

README preview

# capy

<b>🚧 Fork in progress, expect some dust 🚧</b>

**C**ontext-**A**ware **P**rompting ...or "**Y**et another solution to LLM context problem"

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> [!IMPORTANT]
> This project was created with the help of Claude-Code. Is it, however, reviewed, tested, and reworked with a human-in-the-loop.
>
> No AI slop here. Purely AI-made skills are hot garbage, and that's putting it mildly.
>
> That said, if you have any problems with code that is written by AI - you've been warned. But, then again, why would you be interested in AI-related configs and skills in the first place... `¯\_(ツ)_/¯`

## Privacy & Architecture

`capy` is not a CLI output filter or a cloud analytics dashboard. It operates at the MCP protocol layer - raw data stays in a sandboxed subprocess and never enters your context window. Web pages, API responses, file analysis, log files - everything is processed in complete isolation.

**Nothing leaves your machine.** No telemetry, no cloud sync, no usage tracking, no account required. Your code, your prompts, your session data - all local. The SQLite databases live in your home directory and die when you're done.

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