Rekal FAQs

Question 1

Does Rekal integrate with popular LLM clients?

Accepted Answer

Yes, Rekal functions as an MCP (Model Context Protocol) server, making it compatible with various MCP-enabled clients like Claude Desktop, Cursor, and Claude Code. This allows for seamless integration and direct memory management within your preferred LLM environment.

Question 2

What makes Rekal's memory search so effective?

Accepted Answer

Rekal employs a sophisticated hybrid search mechanism that combines three powerful signals: BM25 for keyword relevance, cosine similarity for semantic understanding (vector search), and recency to prioritize newer memories. This blend ensures highly relevant and timely recall.

Question 3

How does Rekal ensure privacy and data ownership?

Accepted Answer

Rekal is designed for privacy. All memory data is stored locally in a single SQLite file on your machine, and embeddings are generated locally using fastembed. This means your data never leaves your environment and you maintain full control.

Question 4

What types of interactions can LLMs have with Rekal's memory?

Accepted Answer

Rekal provides a comprehensive suite of 16 Model Context Protocol (MCP) tools. LLMs can use these to store, search, update, link, supersede, find conflicts, and manage entire conversation histories, enabling dynamic and intelligent memory interaction.

Question 5

What is Rekal and what problem does it solve for LLMs?

Accepted Answer

Rekal provides long-term memory for LLMs, preventing them from 'forgetting' past conversations, preferences, and facts. It stores critical information in a persistent, searchable database, allowing LLMs to recall context across sessions.

Rekal

Rekal

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