twinyou

Inspiration

Modern productivity tools are powerful, but they still require users to constantly context-switch, remember details, and manually coordinate across platforms. We wanted to build a personal AI assistant that behaves like a human, one that understands long-term context, remembers past interactions, and takes action instead of just giving suggestions. Twinyou was inspired by the idea of a true digital twin—an assistant that quietly handles routine work so users can focus on creative and meaningful tasks.

What it does

Twinyou is a user-centric AI agent that manages everyday digital tasks on behalf of an individual user. It handles scheduling, email triage, workflow automation, and information management while continuously learning from user behavior.

The MVP integrates with GitHub, Gmail, Slack, and a cross-platform “find person” feature that locates contacts across connected tools. Twinyou can also perform direct browser actions using JavaScript automation and extensions, enabling it to complete tasks end-to-end.

Unlike group-based bots, Twinyou works only for the user. For example, in Slack, it summarizes what the user needs to do, reads and extracts relevant information from messages sent to the user, and executes tasks on the user’s behalf—without acting for an entire channel or team.

How we built it

Twinyou is built as an agentic system with long-term memory using Supermemory, allowing it to retain context across sessions and reason over past interactions. This memory layer enables human-like continuity and intent understanding.

User interaction is handled through Omi voice commands, allowing natural, hands-free communication. The agent interprets user intent, retrieves relevant context from memory, and triggers the appropriate actions.

Integrations with Gmail, Slack, and GitHub are implemented through their respective APIs, while JavaScript-based browser automation enables Twinyou to interact directly with web interfaces when APIs are unavailable or insufficient.

Challenges we ran into

One of the biggest challenges was maintaining consistent context across multiple platforms while ensuring actions remained scoped strictly to the individual user. Designing an agent that feels proactive without being intrusive required careful intent handling and memory filtering.

Another challenge was balancing automation vs. control—making sure Twinyou could take meaningful actions while still respecting user boundaries and avoiding unintended operations.

Accomplishments that we're proud of

Built a working multi-tool personal AI agent with real integrations

Implemented long-term contextual memory for human-like behavior

Enabled voice-driven task execution through Omi

Designed a strictly user-centric assistant, avoiding noisy group automation

Successfully executed browser-level automation beyond standard API usage

What we learned

We learned that building useful AI agents isn’t just about intelligence—it’s about context, memory, and trust. Long-term memory dramatically improves user experience, but it requires careful design to stay relevant and safe. We also learned that voice interaction significantly lowers friction when paired with reliable intent understanding.

What's next for twinyou

Next, we plan to expand Twinyou’s capabilities with:

Real-time WhatsApp monitoring for personal message management

Google Search integration to recommend places, plan trips, and assist with decisions

More personal productivity integrations

Smarter task prioritization and proactive recommendations

Our goal is to evolve Twinyou into a true digital twin—an assistant that understands you deeply, remembers what matters, and works seamlessly in the background.

Built With

• connectors
• langgraph
• python
• supermemory