About JuliaOS

JuliaOS is a modular, open-source platform for building, deploying, and managing AI-powered agents and swarms across multiple blockchains. It combines the performance of Julia (a high-speed, AI-native language) with a flexible dev stack (Node.js CLI, Python bindings) and a robust onchain/offchain agent framework. For non-technical users, JuliaOS also offers a no-code dApp builder with the same AI and swarm capabilities in a simple, intuitive interface. You can learn more about us on our X page.

🎯 Mission

The mission of this bounty is to build fully functional decentralized application powered by the JuliaOS framework. The goal is to demonstrate the versatility of JuliaOS through real-world applications that leverage AI agents, swarm orchestration, or multi-chain deployment. Successful submissions will showcase how developers can use JuliaOS to quickly build performant, intelligent dApps onchain and offchain.

🔍 Scope Detail

Required:

JuliaOS Agent Execution
Implement autonomous or LLM-powered agents using agent.useLLM() or equivalent API calls provided in the JuliaOS Gitbook.

Optional Features (bonus points):

Swarm Integration
Use JuliaOS swarm APIs to coordinate and manage multiple agents working together.

Onchain Functionality
Interact with Solana smart contracts or execute onchain queries through JuliaOS’s onchain interfaces.

UI/UX Layer
You may build a custom front-end using using your own UI stack. This is encouraged if you’re building a more advanced or highly customized user experience.

Simplified Agent Use Case examples:

Cross-Chain Arbitrage Swarm Bot. A swarm of AI agents that collaborate to find and exploit arbitrage opportunities across multiple exchanges.

Web3 Gaming Companion. An AI assistant tailored for blockchain gamers that helps manage in-game crypto assets and improve gameplay strategies.

AI DAO Governance Advisor. An AI agent that helps DAOs by analyzing proposals, summarizing discussions, and forecasting potential outcomes.

Web3 Project Research Assistant. An AI agent that automates due diligence and research on blockchain projects

On-Chain Transaction Trace & Compliance Agent. An AI assistant that reconstructs and visualizes the full path of suspicious transactions across multiple blockchains—from the origin of stolen funds through mixers, bridges, and wallets—to the current holder.

✅ Submission RequirementsHow to Participate:

Creates a public GitHub repo for your dApp.

Repo includes:

README with setup instructions

Description of how it uses JuliaOS (e.g., agent APIs, swarm coordination)

Link to any demo or deployment

Any relevant tests or scripts

Submit the repo link via earn bounty platform

Complete this feedback form.

Follow us on X and join our Discord with a ‘Developer’ role.

Development Requirements:

Code Quality: Follow JuliaOS style guidelines and naming conventions

Documentation: Provide a clear README explaining the dApp use case, agent logic, and how to run it

Testing: Include sample tests or scenarios demonstrating functionality

License: Your contribution must be compatible with the MIT license

🧪 Judging Criteria

Technical Depth: Use of agents, swarms, and JuliaOS primitives

Functionality: dApp should run as expected with no major bugs

Innovation: Novel or impactful use cases encouraged

Documentation: Clear instructions on setup and execution

Ecosystem Value: Does the dApp contribute meaningfully to JuliaOS?

🧰 Resources

JuliaOS GitHub

JuliaOS Docs

Website

X

Discord

*For Technical Questions: Go to “Tech Support” channel on Discord and tag @Euraxluo or open a new issue in the JuliaOS Github.

💸 Reward Structure

Reward:

1st Place $1,500

2nd Place $800

3rd Place $300

4th Place $200

5th Place $200

Paid in: $USDT

Deadline: August 6th