Project89: A high-performance AI Agent framework based on ECS

Deconstructing Project89: A Modular, High-Performance Next-Generation AI Agent Framework

Project89 has proposed a brand new Agent Framework design, primarily aimed at game development, featuring higher modularity and performance. This framework adopts the Entity Component System (ECS) architecture, completely separating data from logic to efficiently manage various entities and their behaviors in large-scale scenarios.

Deconstructing Project89: A Modular, High-Performance Next-Generation AI Agent Framework Design

Overview of ECS Architecture

The ECS architecture includes three core concepts:

  • Entity(: Just an ID, can mount different components.
  • Component): specific data or state of the storage entity
  • System (System (: Execute logic related to certain components

In Project89, each Agent is regarded as an Entity and can register different components, such as Agent Component, Perception Component, Memory Component, Action Component, etc. Each System is responsible for handling the logic of specific components, such as Perception System, Memory System, Action System, etc.

![Deconstructing Project89: A Modular, High-Performance Next-Generation AI Agent Framework Design])https://img-cdn.gateio.im/webp-social/moments-4cd7ca20f2967b9025411d9985f64831.webp)

ArgOS System Architecture

ArgOS divides the System into three layers:

  1. Conscious ( CONSCIOUS ) System: High update frequency, such as Perception System, Thinking System, etc.
  2. 潜意识(SUBCONSCIOUS) system: low update frequency, such as GoalPlanningSystem
  3. Unconscious ( UNCONSCIOUS ) System: Update frequency is the slowest, currently not enabled.

This layered design can simulate the human thought process, enabling more complex agent behaviors.

Deconstructing Project89: A Modular, High-Performance Next-Generation AI Agent Framework Design

Core Architecture Layering

The core architecture of Project89 includes:

  1. Component (Component )
  2. System(System)
  3. 管理器(Manager)
  4. Runtime (Runtime )

Components are used to store data, system processing logic, managers provide system-level functions, and the runtime is responsible for scheduling.

Deconstructing Project89: A Modular, High-Performance Next-Generation AI Agent Framework Design

Innovation Points

  1. Each System operates independently, with no mutual call relationships, reducing coupling.
  2. Modular design, easy to expand and customize Agent capabilities
  3. ECS architecture improves concurrency performance
  4. System Layered Design Simulates Human Thinking Process
  5. Comprehensive documentation and high-quality code implementation

Project89 provides a new potential architectural choice for AI Agent development, which is worth the attention and experimentation of gaming and DeFi teams.

Deconstructing Project89: A Modular, High-Performance Next-Generation AI Agent Framework Design

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VibesOverChartsvip
· 2h ago
Ah, this performance cannot solve everything.
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LayerHoppervip
· 11h ago
NGMI at card level limit
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ChainWallflowervip
· 11h ago
The next generation project is also just for fun.
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AirdropCollectorvip
· 11h ago
Good bull, looking forward to using it in the Metaverse.
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PrivateKeyParanoiavip
· 11h ago
Gamers all understand this trap, they've seen it a long time ago.
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TokenGuruvip
· 11h ago
Another up-and-coming star has arrived. I suggest you old brothers follow it, as there aren't many that can match the early ETH contract architecture.
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MagicBeanvip
· 12h ago
Performance speed is the hard truth!
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