Fleet Mem FAQs

Question 1

What is Fleet Mem?

Accepted Answer

Fleet Mem is a local Model Context Protocol (MCP) server that provides shared code intelligence for AI agent fleets. It helps multiple AI agents coordinate, share knowledge, and avoid conflicts when working on the same codebase.

Question 2

How does Fleet Mem improve AI agent code search?

Accepted Answer

It offers AST-aware semantic search, parsing code into meaningful units like functions and classes. Agents can query code using natural language and get precise, token-efficient results, unlike traditional keyword-based search.

Question 3

Does Fleet Mem support shared memory across different agents?

Accepted Answer

Yes, Fleet Mem features a persistent, shared memory store. Discoveries made by one agent are stored and can be retrieved by other agents via keyword or semantic search, preventing duplicate work and fostering cumulative knowledge.

Question 4

How does Fleet Mem prevent conflicts in a multi-agent environment?

Accepted Answer

It includes a fleet-aware coordination system with a file lock registry. Agents can declare files they are working on, preventing concurrent modification conflicts. It also provides merge impact previews and notifications for stale context.

Question 5

Is Fleet Mem secure and private for my code?

Accepted Answer

Absolutely. Fleet Mem runs entirely on your local machine using Ollama embeddings by default, ensuring zero data leakage. No cloud APIs, telemetry, or code leaves your network unless you explicitly configure it.

Fleet Mem

Fleet Mem

Key Features

Use Cases

Key Features

Use Cases