Article source: MetaCat

Author: lordOfAFew

Translation: MetaCat

☁️Daydreams Protocol

Daydreams has achieved generative full-chain game AI Agents through collaboration with @ohayo_dojo.

Upcoming integration:

  • @ai16zdao

  • @Playgrounds0x

  • @0xzerebro

  • and any AI Agent framework

In the next month, anyone can deploy AI Agents through Daydreams to play any Dojo-based full-chain game on Starknet.

For me, once this protocol matures, these Agents will be able to do anything, even deploy their own smart contracts. This is all made possible by the thinking chain and context support provided by Daydreams.

Please see how the POC (proof of concept) runs in @RealmsEternum: (@0xtechnoir)

Video link: https://x.com/lordOfAFew/status/1871842343575593065

Daydreams provides a blueprint for creating autonomous full-chain game AI Agents. These AI Agents can understand on-chain game states, use historical data as context, and continuously optimize strategies through an evolving thinking chain.

We introduced a vector database as a storage medium for long-term memory while implementing a 'collective collaboration space' made up of multiple AI Agents to share knowledge and achieve rapid collective self-upgrade.

This is the core mechanism by which AI Agents think and decide how to act.

Protocol

This protocol aims to allow AI Agents to build dynamic queries and actions, rather than relying on the static actions used by most systems today. It achieves this by providing the context needed to build a 'thinking chain.'

We have generalized the architecture, so any application developed based on @ohayo_dojo can be integrated with minimal configuration.

More content to come, stay tuned.

Why a full-chain game?

The full-chain game environment inherently comes with profit motives, transforming strategies from abstract puzzles into economically driven optimization behaviors.

In full-chain games, AI Agents are directly incentivized to maximize their on-chain rewards. This measurable and universal 'reward function' encourages agents to continuously improve themselves and gives the learning process a meaningful real-world motivation.

In addition, due to unique incentive mechanisms, the architecture of full-chain games is more adaptable. AI Agents can participate in games without a customized API, and all existing infrastructure can be used directly.

Why announce now?

Over the past two years, developers from @cartridge_gg, @ohayo_dojo, and @LootRealms have been building the infrastructure to make this all happen. As always, everything is open-source, and we encourage community contributions and discussions.

This is a project still in its early stages, and our primary goal is to showcase these capabilities in @RealmsEternum Season 1 in a few months. If you want to participate and contribute, now is the best time.