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Vittorio Distefano PRO

blackopsrepl

AI & ML interests

Decision making and planning problems

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discord-community/README:Unable to Join Our Discord Community

reacted to azettl's post with 👍 12 days ago

In my last post, I told you about my discovery of the Open Floor Protocol. Today I want to show you a small npm package I built to make building OFP-compliant agents easier. ➡️ https://www.npmjs.com/package/@openfloor/protocol Huge credits to David Attwater, who wrote the Python package I heavily relied on. I also created a small sample parrot agent (𝘤𝘶𝘳𝘳𝘦𝘯𝘵𝘭𝘺 𝘰𝘯𝘭𝘺 𝘪𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘪𝘯𝘨 𝘵𝘩𝘦 𝘶𝘵𝘵𝘦𝘳𝘢𝘯𝘤𝘦 𝘢𝘯𝘥 𝘮𝘢𝘯𝘪𝘧𝘦𝘴𝘵 𝘦𝘷𝘦𝘯𝘵𝘴) which just repeats what you tell him. Next, I will implement a sample with multiple agents and a floor manager to show the true power of the Open Floor Protocol. You can find the code of the sample on GitHub: https://github.com/azettl/openfloor-parrot-agent/blob/main/src/parrot-agent.ts, and you can try the parrot with the OFP tester here https://huggingface.co/spaces/azettl/ofp_checker. Just add the URL of the agent: https://kmhhywpw32.us-east-1.awsapprunner.com/ under "Assistant Endpoint URL". The video below is my first attempt on visualizing on how the basics, incl. floor manager, of the protocol work. 👇

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Yuga Planner

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Schedule tasks using AI chat

New activity in discord-community/README 12 days ago

Unable to Join Our Discord Community

#7 opened 2 months ago by

Vijay-Manickam

reacted to azettl's post with 👍 12 days ago

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In my last post, I told you about my discovery of the Open Floor Protocol. Today I want to show you a small npm package I built to make building OFP-compliant agents easier.

➡️ https://www.npmjs.com/package/@openfloor/protocol

Huge credits to David Attwater, who wrote the Python package I heavily relied on.

I also created a small sample parrot agent (𝘤𝘶𝘳𝘳𝘦𝘯𝘵𝘭𝘺 𝘰𝘯𝘭𝘺 𝘪𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘪𝘯𝘨 𝘵𝘩𝘦 𝘶𝘵𝘵𝘦𝘳𝘢𝘯𝘤𝘦 𝘢𝘯𝘥 𝘮𝘢𝘯𝘪𝘧𝘦𝘴𝘵 𝘦𝘷𝘦𝘯𝘵𝘴) which just repeats what you tell him. Next, I will implement a sample with multiple agents and a floor manager to show the true power of the Open Floor Protocol.

You can find the code of the sample on GitHub: https://github.com/azettl/openfloor-parrot-agent/blob/main/src/parrot-agent.ts, and you can try the parrot with the OFP tester here azettl/ofp_checker. Just add the URL of the agent: https://kmhhywpw32.us-east-1.awsapprunner.com/ under "Assistant Endpoint URL".

The video below is my first attempt on visualizing on how the basics, incl. floor manager, of the protocol work. 👇

reacted to azettl's post with 👀 19 days ago

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After building Consilium, my multi-AI expert consensus platform for the Gradio Agents and MCP Hackathon, Deborah Dahl introduced me to the Open Floor Protocol.

This protocol provides a standardized JSON message format for communication between conversational agents and human users across different platforms.

𝗞𝗲𝘆 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀:
✅ 𝗗𝗲𝗹𝗲𝗴𝗮𝘁𝗶𝗼𝗻 - transferring control between agents
✅ 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝗶𝗻𝗴 - passing messages without modification
✅ 𝗠𝗲𝗱𝗶𝗮𝘁𝗶𝗼𝗻 - coordinating behind the scenes
✅ 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 - multiple agents collaborating

I am already working on a version of Consilium where you can add any Open Floor-compliant agents 🚀.

➡️ 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗢𝗙𝗣 𝗱𝗲𝗺𝗼 𝗳𝗿𝗼𝗺 𝗘𝗺𝗺𝗲𝘁𝘁: https://ejtalk.com/Pages/ann2.html
Also see the specification on GitHub https://github.com/open-voice-interoperability/openfloor-docs.

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Nasa Space Explorer

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NASA MCP server: APOD images, asteroid tracking, Mars rover

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The hackathon has ended, but I have updated Yuga Planner with MCP support!

Yuga Planner takes any task description, breaks it down into actionable tasks with LlamaIndex and Nebius, then schedules them automatically with Timefold.

You can schedule your task by itself or around an existing .ics file, making it fit into your previous schedule.

You can call Yuga Planner from any MCP enabled client or try it now from the Gradio live demo: blackopsrepl/yuga-planner!

reacted to yeonseok-zeticai's post with 🚀 about 1 month ago

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💫 Next-Level On-Device AI Showdown

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