ntrp 0.2.2

Personal AI assistant with persistent memory and multi-source knowledge integration

ntrp

ntrp is entropy – the measure of disorder in a system. Your calendar, emails, notes, browser tabs, half-remembered conversations – it all accumulates. This project exists to reduce it.

I built this for myself. ADHD and scattered attention meant I kept losing track of things (e.g. what I said, what I planned, what I was supposed to follow up on). So I made an assistant that hooks into my stuff and actually remembers.

What it does

• Persistent memory: learns facts and patterns across conversations, consolidates them over time
• Scheduled tasks: morning briefings, daily reviews, health tracking – runs autonomously on a schedule
• Connected sources: Obsidian vault, Gmail, Google Calendar, browser history, web search (so far)
• Shell access: runs commands, manages files, sends emails
• Any LLM: Claude, GPT, Gemini built-in; OpenRouter, Ollama, vLLM, or any OpenAI-compatible endpoint via custom models

Memory

Schedules

Connections

Quick start

git clone https://github.com/esceptico/ntrp.git
cd ntrp
uv sync
cd ntrp-ui && bun install && cd ..

cp .env.example .env
# Edit .env – set at least one LLM key, model variables, and NTRP_API_KEY

uv run ntrp serve              # backend
NTRP_API_KEY=<key> bun run ntrp-ui/src/index.tsx  # UI (separate terminal)

See docs/setup.md for Google OAuth, Telegram, Obsidian, custom models, Docker, and other integrations.

Requirements

• Python 3.13+, uv
• Bun (terminal UI)
• At least one LLM provider API key

Inspired by

• opencode – terminal UI
• letta – persistent memory and personalized approach
• hindsight – graph memory structure

Versioning

Pre-1.0: 0.minor.patch. Minor bumps for new features (may be breaking), patch bumps for fixes. All changes go through PRs, except docs and minor non-code updates.

License

MIT