Author: lordOfAFew

Translation: MetaCat

☁️Daydreams Protocol

Daydreams has achieved generative full-chain gaming 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 all comes together thanks to the thought chains and contextual support provided by Daydreams.

See how the POC (Proof of Concept) runs in @RealmsEternum: (@0xtechnoir)

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

Daydreams provides the blueprint for creating autonomous full-chain gaming AI Agents. These AI Agents can understand the on-chain game state, use historical data as context, and continually optimize strategies through an evolving thought chain.

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

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

Protocol

The protocol aims to enable 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 construct 'thought chains'.

We have generalized the architecture so that any application developed based on @ohayo_dojo can integrate it with minimal configuration.

More content coming soon.

Why full-chain gaming?

The full-chain gaming environment has an inherent profit motive, transforming strategy from abstract puzzles into economically driven optimization behaviors.

In full-chain games, AI Agents are directly incentivized to maximize their on-chain earnings. This measurable and universal 'reward function' drives agents to continually self-improve and gives real meaning to the learning process.

Furthermore, due to its unique incentive mechanism, the architecture of full-chain games is more adaptable. AI Agents can participate in the game without customized APIs, using all existing infrastructure directly.

Why announce now?

Over the past two years, developers from @cartridge_gg, @ohayo_dojo, and @LootRealms have been building the infrastructure to make all of this 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 main goal is to demonstrate these capabilities in season 1 of @RealmsEternum in a few months. If you wish to participate and contribute, now is the best time.