The Extensibility Problem

When we first built Korben, adding new functionality required editing multiple files:

1. Create your task implementation
2. Import it in registry.py
3. Add it to the TASKS dictionary
4. Remember to do this for flows too
5. Update documentation

Every. Single. Time.

This worked fine for the core team, but it created friction for:

• Contributors - Making a simple addition required understanding the registry system
• Personal extensions - Your custom tasks got mixed with core code
• Maintenance - Import statements and dictionaries grew unwieldy
• Discoverability - No way to see what’s available without reading registry.py

We needed something better. Something that let you just write code and go.

Why Korben?

We built Korben because existing automation tools are either too simple (lacking AI capabilities) or too complex (enterprise-grade with steep learning curves). We wanted something in between: powerful AI agents with a clean, composable architecture for personal use.

The Problem

Modern automation should leverage LLMs, but most tools make this harder than it needs to be:

• Enterprise platforms are overengineered for personal projects
• No-code tools lack flexibility and can’t handle complex logic
• DIY scripts become unmaintainable spaghetti code
• AI libraries require too much boilerplate for simple tasks

The Korben Approach

Korben gives you the best of both worlds:

The Podcast Problem

You subscribe to amazing podcasts. Smart people sharing incredible insights. But here’s the reality:

• 2-3 hour episodes are hard to fit into your schedule
• Taking notes while listening breaks your flow
• Remembering key points days later is nearly impossible
• Searching for that one thing someone said requires re-listening to hours of audio

What if you could get structured, searchable summaries of every episode automatically?

The Korben Solution: Podcasts Flow

The podcasts flow is a complete automation pipeline that: