Project Info

Dashi

This project did not submit a demo video on Devpost.

Inspiration

There was a twitter post mentioning how nobody has built a widget app with the little FaceID emoticon. 😊

What it does

Dashi aims to solve the shortcomings of Siri using modern AI functionalities. Using features like tool calling and MCP servers, we give an AI assistant like Siri much more capability.

How we built it

We built the agent powering Dashi with Letta's new sleep time voice agent.

Challenges we ran into

The mix of environments (cloud apis, local functions) caused a lot of trouble during Dashi's development. Letta's integration with other services such as Vapi also had some issues, forcing us to debug for hours.

Accomplishments we're proud of

We built a clean, opinionated UI that the user can easily navigate to use their assistant. Dashi is lightweight (thanks to Tauri) and lives on your system idly until you need it.

What we learned

MCP is not completely fleshed out and the agent ecosystem has a far way to go in standardizing how agents are built. Cut and paste integrations are finnicky and hard to debug without a constant support team (Thank you Charles and Sarah!)

What's next

Make it modular by allowing the user to customize their own assistant (add their own tools, bring their own MCP servers, etc.) Improve the UI/UX across all of Dashi's capabilities, ensuring a seamless experience for the user.

dashi

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

Next.js Documentation - learn about Next.js features and API.
Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Analysis

Compare with all teams

View

Metric

ehcaw
9
elusiphe
3

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only

CSSIn code
Next.jsIn code
ReactIn code
RustIn code
Tailwind CSSIn code
TypeScriptIn code
PythonClaimed

6 of 7 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

102 KB

Source files

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.