Your private memory intelligence — captures thoughts from anywhere, organises them into your vault, and reflects insights back to you. Entirely local.
Project description
AMI — Anonymous Memory Intelligence
Your private memory intelligence — captures thoughts from anywhere, organises them into your vault, and reflects insights back to you. Entirely local.
Status: Alpha. The core CLI and domain modules are in place; ingestion, OCR, and the weekly-digest pipeline are still being built.
Hard constraints:
- Open-source, no paid services.
- Local-first AI via Ollama only — your notes never leave your device.
- Built for the user's existing Obsidian vault conventions (
KEY: valueheaders, lifecycle states#infant → #child → #developing → #adult → #on-ice → #removed).
Install
# Prereqs: Python 3.12, uv, and Ollama. See docs/01-prerequisites.md.
git clone git@gitlab.com:nkosinathi1/ami.git ~/source/repos/ami
cd ~/source/repos/ami
uv sync
ami init # one-time setup wizard
ami doctor # verify uv / Ollama / models / vault / ssh
Try it
ami --help # discover every subcommand
ami doctor # health-check the environment
ami vault status # confirm inbox folders are in place
ami dev guard # lint + format check + tests + security audit
Documentation
The build guide and operator manual live at ~/source/ubuntu/docs/ami/:
00-overview.md— start here.standards.md— engineering rules every contribution is held to.security.md— threat model.14-cli-reference.md— everyamicommand, what it does.15-ide-setup.md— VS Code + WSL setup.activity-log.md— append-only audit trail of every change.
License
MIT. See LICENSE.
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