Use case · claude-mem for Gemini CLI

claude-mem for Gemini CLI

Bring your agent's memory to Google's Gemini CLI.

cmem brings your agent's memory to Google's Gemini CLI. The open-source engine captures structured observations locally; CMEM Cloud links them to Gemini CLI through one private MCP endpoint, alongside every other MCP client you use. Memory follows you across tools and machines.

How it fits Gemini CLI
Capability
Without cmem
cmem.ai
Connection
No shared memory
Private MCP link for Gemini CLI
Memory persistence
Per-session only
Across every project & machine
Capture
Manual notes
A second model writes observations
Recall
Re-paste history
Semantic vector search
Price
$0 cloud during early access
How it integrates

Up and running with Gemini CLI

01

Install the engine

Run npx claude-mem@latest install to start capturing observations locally.

02

Add the MCP link

Point Gemini CLI at your private MCP link as an MCP server.

03

Recall everywhere

Gemini CLI shares one brain with the rest of your agents.

What you get

Memory that compounds, built in

Automatic capture

A second model writes structured notes out-of-band — no prompting, no slowdown.

Auto-categorization

Decision, bugfix, feature, discovery, security — every note lands in a taxonomy.

Search three ways

Semantic, keyword, and timeline search over everything your agents have done.

Causality threading

Before/after links connect why a change happened to what came next.

Local-first & private

Memory lives in local SQLite with privacy stripping; cloud sync is opt-in.

Smart-explore

Structural codebase exploration that is 6–12× cheaper than reading files in full.

See all features →

Early access

Bring memory to Gemini CLI

The engine is open source and free to install today. Cloud sync is $0 during early access — join the waitlist and your private MCP link arrives by email.