Snow FAQs

Question 1

What are the core functionalities (tools) Snow provides?

Accepted Answer

Snow offers MCP tools to store_memory, recall_memory, search_memories, update_memory, and delete_memory. These tools allow AI agents to interact with their persistent knowledge base effectively.

Question 2

Is Snow compatible with popular AI development environments?

Accepted Answer

Yes, Snow is designed for easy integration with AI coding environments that support the Model Context Protocol (MCP), such as OpenCode, Claude Code, and Cursor, through simple configuration.

Question 3

What is Snow and how does it help AI agents?

Accepted Answer

Snow is a Model Context Protocol (MCP) server that provides AI agents with a persistent, contextual "brain". It bridges stateless AI reasoning with local filesystem storage, allowing agents to store and recall long-term preferences, instructions, and snippets.

Question 4

What kind of information can Snow store for AI agents?

Accepted Answer

Snow can store various entry types including project-specific or global preferences, instructions, code snippets, and general context. Each entry type has its own validated metadata schema.

Question 5

How does Snow manage persistent memory?

Accepted Answer

Snow uses a local SQLite database with Write-Ahead Logging (WAL) for high concurrency and reliability. It stores data in an XDG Compliant location and uses FTS5 for efficient full-text memory retrieval.

Snow

Snow

Key Features

Use Cases

Key Features

Use Cases