Bounty #1 - Swarm Optimization Algorithms - $3000 Reward

[laurabeni01]

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: [x.com/buildonjulia](https://x.com/buildonjulia).

Mission

Improve how JuliaOS swarms coordinate, score, and optimize tasks by building on the existing swarm optimization framework and expanding its utility, performance, and composability.

Scope Detail

Your task involves enhancing the core functionalities of JuliaOS swarms. You can explore the following directions:

• Extend the optimization logic:
  • Implement custom scoring functions or non-linear constraints.
  • Add early stopping or dynamic swarm resizing.
  • Adapt the example to work with real-world objective functions (e.g., price prediction, routing, NFT valuation).
• Improve swarm communication:
  • Build agent-to-agent messaging protocols.
  • Introduce caching or context-sharing between swarm members.
  • Add asynchronous task recovery or replay mechanisms.
• Boost inference coordination:
  • Add pre-trained models to evaluate function results (e.g., via agent.useLLM()).

Submission Requirements

• How to Participate:

  • Clone the JuliaOS repository.
  • Create a new branch and set up your environment by following the installation instructions in the README.
  • Submit your work by creating a pull request to the JuliaOS repository and referencing the GitHub issue.
  • Bonus: complete this feedback form for eligibility to our upcoming ambassador program (exclusive perks, social badges, events, and more).

• Development Requirements:

  • Code Quality: Adhere to the project's coding standards and style guidelines.
  • Test Coverage: Include appropriate tests for all code contributions.
  • Documentation: Provide clear documentation for your contribution.
  • License Compliance: All contributions must comply with the MIT license.

Judging Criteria

• Technical Quality: Evaluation of code quality, performance, and adherence to best practices.
• Completeness: Assessment of the fully implemented solution with appropriate testing.
• Documentation: Clarity and comprehensiveness of the provided documentation.
• Innovation: Novel approaches and creative solutions demonstrated in the submission.
• Community Impact: Value added to the JuliaOS ecosystem.

Resources

• [JuliaOS GitHub](https://github.com/Juliaoscode)
• [JuliaOS Docs](https://docs.juliaos.com/)

Reward Structure

• Reward: $1,500–$3,000 USD

  Paid in $JOS or USDT

[mahmudsudo]

can i take on this ?

[Dhruv245]

@laurabeni01 Waiting for your response.