Hive Memory FAQs

Question 1

Is my AI agent's data stored in the cloud with Hive Memory?

Accepted Answer

No, Hive Memory is designed for privacy. All your AI agent's data, including decisions, learnings, and session progress, is stored locally on your machine in plain JSON and Markdown files under `~/.cortex/`. There are no cloud accounts or external services involved.

Question 2

Which AI coding tools can I integrate with Hive Memory?

Accepted Answer

Hive Memory seamlessly integrates with popular AI coding tools such as Claude Code, Claude Desktop, and Cursor. It's designed to work with any MCP-compliant agent, enhancing their memory capabilities.

Question 3

Does Hive Memory support semantic search for recalling memories?

Accepted Answer

Yes, Hive Memory includes an optional native module (Rust + NAPI) for embedding-based semantic search, providing advanced memory recall. Without this module, it uses effective keyword matching for most use cases.

Question 4

How does Hive Memory differ from the built-in memory of AI coding tools?

Accepted Answer

Unlike the single-project memory of most AI coding tools (like Claude Code's MEMORY.md), Hive Memory offers persistent memory across *all* projects, enables shared guides for groups, and ensures automatic session continuity, acting as a meta-layer above these tools.

Question 5

What is Hive Memory and how does it benefit AI coding agents?

Accepted Answer

Hive Memory is an MCP server that provides AI coding agents with persistent, cross-project memory. It allows agents to maintain context, decisions, and learnings across various workspaces, significantly improving continuity and efficiency in development tasks.

Hive Memory

Hive Memory

Key Features

Use Cases

Key Features

Use Cases