Interpreting Daydreams Protocol: Unleashing the Unlimited Potential of AI Agents in Full-Chain Games

Daydreams Protocol, in collaboration with @ohayo_dojo, enables generative full-chain gaming AI Agents, with upcoming integrations like @ai16zdao and @Playgrounds0x.
Next month, users can deploy AI Agents via Daydreams to play Dojo-based full-chain games on Starknet, with potential for agents to deploy smart contracts as the protocol matures.
The protocol uses a vector database for long-term memory and a "group collaboration space" for AI agents to share knowledge and self-upgrade.
AI Agents dynamically query and act using "chains of thought" rather than static actions, with a generic architecture for easy integration into @ohayo_dojo applications.
Full-chain games provide inherent profit motives, driving AI agents to optimize economically and improve strategies with measurable on-chain rewards.
The project is open-source, with infrastructure built by @cartridge_gg, @ohayo_dojo, and @LootRealms, aiming to showcase capabilities in @RealmsEternum Season 1 soon.
Community contributions are encouraged, as this early-stage project seeks to demonstrate AI Agent potential in full-chain gaming.

Author: lordOfAFew

Translation: MetaCat

☁️Daydreams Protocol

Daydreams has implemented a generative full-chain gaming AI Agent through collaboration with @ohayo_dojo.

Coming soon:

@ai16zdao
@Playgrounds0x
@0xzerebro
And any AI Agent framework

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

To me, once this protocol matures, these agents will be able to do anything, even deploy their own smart contracts. All this is possible thanks to the thought chain and context support provided by Daydreams.

See the POC in action in @RealmsEternum: (@0xtechnoir)

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

Daydreams provides a blueprint for creating autonomous full-chain gaming AI agents that can understand the on-chain game state, use historical data as context, and continuously optimize strategies through an evolving chain of thoughts.

We introduced a vector database as a storage medium for long-term memory, and implemented a "group collaboration space" consisting of multiple AI agents to share knowledge and achieve rapid collective self-upgrade.

This is the core mechanism by which an AI Agent thinks and decides how to act.

protocol

The protocol is designed to let AI agents construct dynamic queries and actions, rather than relying on static actions used by most systems today. It does this by providing the context needed to build “chains of thought.”

We have made the architecture generic so any application developed on top of @ohayo_dojo can integrate it with minimal configuration.

Stay tuned for more content.

Why is it a full-chain game?

The full-chain gaming environment comes with an inherent profit motive, transforming strategies from abstract puzzle solving to economically driven optimization behavior.

In the full-chain game, AI agents are directly motivated to maximize their on-chain benefits. This measurable and universal "reward function" encourages agents to continuously improve themselves and gives the learning process a real-world motivation.

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

Why announce now?

Over the past two years, developers at @cartridge_gg, @ohayo_dojo, and @LootRealms have been building the infrastructure to make this happen. As always, this is all open source and we encourage community contribution and discussion.

This is an early stage project and our main goal is to show these abilities in @RealmsEternum Season 1 in a few months. If you want to get involved and contribute, now is the best time.