Cairntir FAQs

Question 1

Is Cairntir compatible with other AI tools beyond Claude Code?

Accepted Answer

Yes, Cairntir functions as a Model Context Protocol (MCP) server. This makes it compatible with any MCP-enabled client, including Claude Desktop, Cursor, Windsurf, Zed, and other tools that adopt the MCP standard.

Question 2

What are 'prediction-bound drawers' and how do they benefit me?

Accepted Answer

Prediction-bound drawers are a unique feature allowing you to track claims, predicted outcomes, and observed outcomes. This log-structured experiment journal helps developers and researchers stress-test assumptions, refine their reasoning, and improve calibration over time with surprise-weighted retrieval.

Question 3

What problem does Cairntir solve for AI users?

Accepted Answer

Cairntir eliminates 'cross-chat AI amnesia' for Claude Code and other Model Context Protocol clients. It provides a persistent, verbatim memory layer so your AI remembers past decisions, context, and lessons across all sessions, preventing repetitive explanations.

Question 4

How does Cairntir store AI interactions?

Accepted Answer

Cairntir stores every AI interaction, decision, and fact verbatim in a local-first SQLite database. This ensures nothing is summarized or truncated, providing a complete, verifiable history of your work with the AI.

Question 5

What are the core benefits of integrating Cairntir into my workflow?

Accepted Answer

By providing persistent memory, Cairntir significantly boosts productivity by eliminating AI amnesia. It ensures your AI always has full context, leading to more informed decisions, better code, and a more efficient daily workflow, whether you're a solo developer or part of a small team.

Cairntir

Cairntir

主要功能

使用案例

主要功能

使用案例