Cairn FAQs

Question 1

What is Cairn and what problem does it solve?

Accepted Answer

Cairn is a software tool that provides persistent, searchable memory for both AI agents and human users. It solves the problem of information loss by intelligently capturing, enriching, and retrieving decisions, learnings, and thoughts across sessions.

Question 2

How does Cairn enhance AI agent continuity?

Accepted Answer

Cairn ensures AI agents remember across sessions by using 'cairns' to mark event timelines and narratives. This allows agents to pick up exactly where they left off, leveraging past experiences and captured insights.

Question 3

What are the ways humans can capture information with Cairn?

Accepted Answer

Humans can quickly capture thoughts using slash commands, extract URLs from browsers with one click, and share content from mobile devices. Cairn's smart ingestion pipeline handles auto-classification, chunking, and deduplication.

Question 4

What kind of search capabilities does Cairn offer?

Accepted Answer

Cairn features a powerful hybrid search combining vector similarity, full-text matching, and tag matching using Reciprocal Rank Fusion, ensuring highly accurate and contextually relevant retrieval of memories.

Question 5

Is Cairn compatible with different LLM backends?

Accepted Answer

Yes, Cairn is designed with a pluggable LLM backend, supporting Ollama, AWS Bedrock, Google Gemini, and any OpenAI-compatible API. This flexibility allows users to choose their preferred model for auto-enrichment and analysis.

Cairn

Cairn

Key Features

Use Cases

Key Features

Use Cases