Anamnese – Cloud Memory for Gemini CLI

Portable, secure cloud memory for any AI. Your facts, goals, tasks, and knowledge — synced everywhere, owned by you. Self-learning AI that gets better every conversation.

Installation

gemini extensions install https://github.com/AnamneseAI/anamnese-gemini-extension

First Use

Run the onboarding command to authenticate and set up your profile:

/anamnese:start

This will open your browser for OAuth login via Supabase. Once authenticated, Anamnese will guide you through setting up your profile.

What You Get

Memory (18 tools)

Memory: save_memory, search_memories, update_memory, delete_memory, get_user_profile

Notes: save_note, search_notes, get_note, update_note, delete_note

Tasks: create_task, search_tasks, update_task, delete_task

Goals: save_goal, search_goals, update_goal, delete_goal

Proactive Capture

Anamnese captures information automatically as you chat — personal details, decisions, tasks, goals, and knowledge. No need to explicitly ask it to remember things.

Self-Learning

The AI learns from your corrections and preferences. Over time, it gets better at anticipating what you want. Say "review your learnings" to see what it's picked up.

Cross-App Sync

Your memory syncs across all AI apps that support Anamnese: Claude, ChatGPT, Claude Code, Cursor, Gemini CLI, and more. Your data is always yours — edit, delete, or export it at anamneseai.app.

Available Commands

Command	Description
/anamnese:start	Onboard, authenticate, and set up your profile

Development

To develop locally, link the extension from the repo directory:

gemini extensions link .

How It Works

This extension connects to the Anamnese MCP server at https://anamneseai.app/api/mcp using Gemini CLI's native httpUrl support. Authentication is handled automatically — Gemini CLI detects the 401 response, discovers the OAuth endpoints, opens a browser for login, and manages token refresh.

No dependencies, no API keys, no manual configuration needed.

License

MIT