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Topos personal AI engine (FastAPI): local data, sync, control plane WebSocket client

Project description

Topos Node

Topos Logo

Topos Node is your personal AI node that runs on your own device. It helps you process and organize your data locally, then connect to Topos and 3rd-party services with explicit user-controlled access.

Why Topos Node

  • Runs locally on your machine
  • Keeps your node data under your control
  • Supports source ingestion, local processing, and controlled sharing flows
  • Installs as a single command-line tool via uv

How Topos Works (in product terms)

Topos Node has two core parts that work together to give you control:

Your Apps/Data -> Topos Database -> Topos Engine -> Safe Responses
Part What it is What it does for you
🗂️ Topos Database Your private memory layer on your device Stores your records, keeps your history, and makes your personal context searchable
🧠 Topos Engine Your decision and processing layer Understands requests, runs AI workflows, and returns the right answer based on your permissions

🛡️ Cognitive Firewall (user control first)

The Topos Engine acts as a Cognitive Firewall: it helps ensure only the right information is used and shared.

Cognitive Firewall principle What that means in practice
🔒 Permission-aware Requests are evaluated against your access rules before data is returned
🎯 Precision over data dumps The engine is designed to return only what is needed, not your entire history
👁️ Transparent behavior Boundaries and limits are explicit so sharing stays understandable and controllable

🤖 Core ML tools in the Engine

Topos Engine uses both local and model-hub paths so users can choose flexibility and control:

ML tool Role in the workflow User-facing benefit
🦙 Ollama Local model execution path Keep more processing on-device and reduce external dependency
🤗 Hugging Face Model and backend integration path Access broad model capabilities for enrichment and analysis tasks

Why this split matters

  • 🏠 Your data lives in one durable place (Database)
  • ⚙️ Intelligence and policy decisions happen in a separate runtime (Engine)
  • 🛡️ The Cognitive Firewall model helps protect context while still enabling useful AI actions
  • 🔄 You can evolve processing/model strategy without changing your core stored memory

Shared runtime contracts

The shared/ package in this repo is part of the node runtime contract. It contains common schema and filtering definitions used by both API and engine paths.

Quick Start

1) Install

uv tool install topos-node

2) Configure

Topos Node requires a TOPOS_KEY.

topos-node --set-topos-key "<YOUR_TOPOS_KEY>"

This stores your key in:

  • ~/.topos/.env

Optional:

  • TOPOS_CONTROL_PLANE_URL if you need a non-default endpoint

3) Run

topos-node --host 0.0.0.0 --port 9000

4) Verify

curl http://localhost:9000/health

Common Commands

# Start node
topos-node

# Save your TOPOS_KEY for future runs
topos-node --set-topos-key "<YOUR_TOPOS_KEY>"

# Discover available local databases and exit
topos-node --discover

# Use custom database path
topos-node --db-path /path/to/topos.sqlite

# Bind custom host and port
topos-node --host 127.0.0.1 --port 9100

Upgrade or Uninstall

# Upgrade to latest
uv tool upgrade topos-node

# Remove
uv tool uninstall topos-node

Security and Privacy Notes

  • Do not commit topos/.env or any real credentials.
  • Keep your TOPOS_KEY private.
  • Review env.example for available configuration options.

Developing Locally

uv sync --extra engine
just run

Engine memory (local dev)

ML models are cached inside the Engine with LRU eviction. For lighter local runs (especially inside Cursor's integrated terminal), see Engine memory management.

# Default: ENGINE_MAX_RESIDENT_MODELS=3; pipeline flush is automatic
# Override only if needed, e.g. lower RAM: export ENGINE_MAX_RESIDENT_MODELS=2
export PRIVACY_FILTER_DEVICE=cpu

Run tests:

pip install -e ".[dev,engine]"
pytest tests -m "public and not e2e" -q

Contributing

See CONTRIBUTING.md for:

  • public vs private test lanes
  • where deployment scripts now live
  • contribution scope and security expectations

License

Apache License 2.0. See LICENSE.

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