Gemini Memory FAQs

Question 1

What tools does Gemini Memory offer for managing stored context?

Accepted Answer

Gemini Memory provides intuitive slash commands within the Gemini CLI, such as `/mem:status`, `/mem:search <query>`, `/mem:last [limit]`, and `/mem:prune` to inspect, search, and clean up your stored conversational memory efficiently.

Question 2

How does Gemini Memory store and retrieve context?

Accepted Answer

It captures context using hook-based mechanisms (e.g., AfterAgent, BeforeAgent, SessionStart) during Gemini CLI sessions. Memory is stored locally in a per-project SQLite database, ensuring your conversational history is persistent and available for future recall.

Question 3

Is Gemini Memory configurable?

Accepted Answer

Yes, it is highly configurable. You can adjust settings like the database path, model limits, and timeouts via the `gemini-extension.json` file. It also supports opt-in hook telemetry for debugging and monitoring.

Question 4

What is Gemini Memory?

Accepted Answer

Gemini Memory is a powerful extension for the Gemini CLI that provides persistent conversational context. It stores your past interactions and agent responses in a local SQLite database, allowing the Gemini CLI to recall and manage project-specific memory.

Question 5

Can external agents or clients interact with Gemini Memory?

Accepted Answer

Yes, Gemini Memory includes optional MCP (Memory and Context Protocol) server tools. These allow external agents, clients, or services to interact with and leverage the shared memory database, facilitating more intelligent and context-aware applications.

Gemini Memory

Gemini Memory

Características Principales

Casos de Uso

Características Principales

Casos de Uso