I just gave my local AI desktop companion access to the outside world (Telegram, Discord, Email…)

#ai #api #python #opensource

For the last weeks, I’ve been building a local-first AI desktop companion that lives on your screen.

It can:

see your screen
understand your context
execute actions on your system

But it had one big limitation:

It only lived on your desktop

So I changed that.

🌐 Introducing: Blob Connectors

I just added a new layer to OpenBlob:

👉 Blob Connectors

A lightweight Python bridge that connects your local AI to the outside world:

Telegram
Discord
Slack
Email

🧠 What this actually means

You can now do things like:

send open spotify via Telegram → Spotify opens on your PC
ask a question in Discord → your local model answers
send an email → get a contextual AI reply
control your desktop from anywhere

And the important part:

It’s still local-first

⚙️ How it works

All channels go through the same pipeline:

Telegram / Discord / Slack / Email
              │
        Blob Connectors (Python)
              │
    ┌─────────┴─────────┐
    │                   │
OpenBlob running?    Ollama fallback
(localhost)         (local model)
              │
        Command Router
              │
      Desktop action

Everything becomes a normalized Message object.

No matter where it comes from.

🔌 Why this matters

This is not just “adding integrations”.

This is the first real step towards:

an AI system that exists beyond a single interface

Now OpenBlob is:

not just UI-bound
not just voice-bound
not just desktop-bound

It becomes a distributed interface to your own system

🧩 Built for extension

Each connector implements the same interface:

class MyConnector(BlobConnector):
    async def receive_message(self, raw) -> Message | None: ...
    async def send_response(self, original: Message, response: str) -> None: ...
    async def start(self) -> None: ...