Author: lordOfAFew
Translator: MetaCat
☁️Daydreams Protocol
Daydreams has achieved a generative full-chain game AI Agent through collaboration with @ohayo_dojo.
Upcoming integrations:
- @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 thought chain and context support provided by Daydreams.
Please see the POC (Proof of Concept) running 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 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 achieve rapid collective self-upgrading.
This is the core mechanism by which AI Agents think and decide how to act.
Protocol
The protocol is designed to allow AI Agents to construct 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 "thought chain."
We have generalized the architecture, so any application developed based on @ohayo_dojo can integrate it with minimal configuration.
More content to come.
Why Full-Chain Games?
Full-chain game environments inherently possess 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 earnings. This measurable and universal "reward function" drives agents to continuously improve themselves and gives real meaning to the learning process.
Moreover, due to the unique incentive mechanisms, the architecture of full-chain games is more adaptable. AI Agents can participate in games without customized APIs, and all existing infrastructure can be used directly.
Why Announce Now?
Over the past two years, developers from @cartridgegg, @ohayodojo, and @LootRealms have been building the infrastructure to make all of this possible. As is our consistent approach, 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 showcase these capabilities in Season 1 of @RealmsEternum in a few months. If you wish to participate and contribute, now is the best time.
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