Inspiration

The idea for Hey Listen stemmed from the limitations of reactive AI agents that lack environmental awareness. Inspired by the need for proactive, context-driven systems, we aimed to create an AI that actively listens and responds intelligently to real-time data, drawing from past references like context-aware assistants in gaming and automation.

What it does

Hey Listen is a proactive AI system that listens to its environment, organizes data into a structured knowledge base, and makes informed decisions. It maintains 30 minutes of structured context and 3 minutes of raw context, integrates with tools like Linkup, Pinecone, and Jira, and continuously queries relevant information to deliver real-time, context-aware responses.

## How we built it

We developed Hey Listen using a modular architecture: an audio worker for real-time transcription, a context agent for managing structured and raw data, and a decision-making agent for intelligent responses. We integrated Linkup, Pinecone, and Jira for enhanced functionality, with demos built in Airia and Claude for visualization.

Challenges we ran into

Key challenges included structuring real-time data efficiently, ensuring seamless tool integrations, and balancing context retention with performance. Debugging the continuous querying system and optimizing for low-latency responses were also significant hurdles.

What we learned

We learned the importance of modular design for scalability, the complexities of real-time data processing, and the value of lightweight context management. Tool integrations taught us about balancing compatibility and performance.

What's next for Hey Listen

Future steps include enhancing the decision-making agent’s capabilities, expanding tool integrations, and improving context retention for longer-term memory. We aim to deploy Hey Listen in real-world applications, refining its proactive intelligence for broader use cases.

Built With

• airia
• linkup
• openhands
• python