Announcing the Agent Explorer Plugin Hackathon

Amarachi Johnson-Ubah
Veramo
Published in
2 min readJan 25, 2024

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We’re happy to announce that we’re hosting a hackathon for the Veramo builder community to explore solutions that utilize the Agent Explorer Plugin functionality. The hackathon will run from January 25th until February 22nd.

PRIZES

* The top 3 entries, as judged by the VeramoLabs team, will receive 500 DAI (~$500) each.

RULES

  • Hackathon entries must be open source and permissively licensed (Apache 2.0 or MIT)
  • Entries must be accessible simply by adding a plugin to the agent explorer. Your entry can utilize external services (e.g. a cloud agent you run that the plugin communicates with). Still, users must be able to interact with it from the Agent Explorer plugin only with no additional configuration/setup.
  • Participants must submit a 1–5 minute video explaining/demonstrating their plugin.

GET STARTED

  • To get started, review the hackathon details and register here: https://forms.gle/Vz5N4UkN67jXRchd7
  • If you are new to decentralized identity, review our resources section, where you’ll find suggested developer tools and tutorials.
  • Head to Discord: https://discord.gg/2EbbRMTtRf, introduce yourself, and let us know if you have any questions. If you are looking for teammates, you can also find them there.
  • Join our opening session happening on the 1st of February by 9 a.m. EST/3 p.m. GMT+1. Click on this link to set a reminder.

Get hacking! Submissions will open on February 12th, 2024.

WHAT TO SUBMIT

  • Include a video (no more than 5 minutes) demonstrating your submission. Videos must be uploaded to YouTube, Loom, or Vimeo and made public.
  • Provide a URL to a public code repository.
  • Complete the submission form (to be shared) before the deadline.

RESOURCES

1. https://github.com/veramolabs/agent-explorer/blob/main/packages/plugin/README.md

2. https://youtu.be/MyKyVubqeS0

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Amarachi Johnson-Ubah
Veramo

Community Relations Aficionado | I find fulfilment when I teach what I learn