Interpreting Daydreams Protocol: Unlocking the unlimited potential of AI Agents in blockchain games

Author: lordOfAFew

Translation: MetaCat

☁️Daydreams Protocol

Daydreams has achieved the generative full-chain game AI agent through cooperation 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.

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

Please see the operation of POC (Proof of Concept) in @RealmsEternum: (@0xtechnoir)

Interpretation of Daydreams Protocol: Unleashing the Unlimited Potential of AI Agents in Blockchain Games

Video link:

Daydreams provides a blueprint for creating autonomous full-chain game AI Agents. These AI Agents are able to understand the state of the on-chain game, use historical data as context, and continuously optimize strategies through an evolving chain of thought.

We have introduced a vector database as a storage medium for long-term memory, while also realizing a ‘collective collaboration space’ composed of multiple AI Agents, in order to share knowledge and achieve rapid collective self-improvement.

This is the core mechanism of how the AI Agent thinks and decides on its course of action.

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

Protocol

The protocol aims to enable AI agents to build dynamic queries and actions instead of relying on static actions used by most systems today. It achieves this goal by providing the context needed to build a “chain of thoughts”.

We have made the architecture universal, so any application developed based on @ohayo_dojo can integrate it with minimal configuration.

More content, stay tuned.

Why is it a blockchain game?

The whole-chain gaming environment comes with inherent profit motives, transforming strategies from abstract puzzles into economically driven optimization behaviors.

In the whole-chain game, the AI Agent will be directly incentivized to maximize its on-chain income. This measurable and universal ‘income function’ encourages agents to constantly improve themselves and gives the learning process a realistic meaning.

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

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

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 possible. As always, everything is open-source, and we encourage community contributions and discussions.

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

AGENT-15,97%
STRK4,31%
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • Comment
  • Repost
  • Share
Comment
Add a comment
Add a comment
No comments
  • Pin