[90% Open Source] DataPredict Agent - Build LLM-Powered AI Agents In Roblox!

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#1

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Overview

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Hi guys! I introduce you to a new Large Language Model (LLM) AI integration library!

Documentation And Tutorials: Welcome to Aqwam’s DataPredict Agent Library! | DataPredict Agent

Features

  • Custom actions through the use of regular expressions to detect actions inside of LLM-generated messages.

  • Agents can learn from their environments, and enhance this capability further with deep reinforcement learning from DataPredict and DataPredict Neural.

  • Agents can have add-on hidden prompts as well as regular hidden prompts for custom personalities and identities.

  • Agents can have global memories so that agents can remember conversations between the player, the agents, and the rest of the group.

  • Agents can have local memories so that the agents can remember conversations between the player and the agents.

  • Agents can have free will.

  • Agents can sense its environments.

  • Connect to any number of servers that hosts large language models.

  • Extremely modular source code for rapid prototyping and easy maintenance.

Notes
  • Only compatible with “Instruct” models.
Download Links

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8 Likes
#2

Bookmarked it!!! , Now this amazes me if Roblox added an service for Bot Chatting

#3

Hi everyone! I recently added a tutorial on hosting your own large language model. It should reduce your costs by not hosting your models on third-party services. Have a look!

1 Like
#4

im confused, what exactly is this? an ai meant to play games?

#5

Ah, it’s more like a framework that allows you to connect your locally hosted LLMs (like ChatGPT) in your PC to your AI, allowing more complex interactions.

Basically, if you don’t want to be constrained with a company that promises you “make an agent that acts like a player” and pair it up with huge fees, you can just use this library. I already set up all the necessary stuff so that you don’t need to deal with hard parts.

And yes that does happen, but I feel like it is not justified given how low effort to develop it.