shared-state-architecture

name	shared-state-architecture
description	PSI (Persistent Shared Interface): A shared-state architecture for coherent AI-generated instruments in personal AI agents. Addresses the problem of isolated AI tools by introducing a personal-context bus for cross-module reasoning and synchronized actions. Use when designing multi-agent systems, personal AI environments, tool orchestration, or building coherent AI software architectures.

PSI: Shared State Architecture for Personal AI Agents

Core Problem

AI-generated personal tools remain isolated after creation, lacking coordination mechanisms. Each tool operates independently without shared context, leading to fragmented user experiences.

Key Innovation: Personal-Context Bus

PSI introduces a shared-state layer that transforms isolated AI modules into coherent instruments through:

1. State Publication: Modules publish current state to shared bus
2. Write-back Affordances: Modules expose editable state properties
3. Cross-module Reasoning: Chat agent can reason across module states
4. Synchronized Actions: Multiple modules can coordinate through shared state

Architecture Components

1. Personal-Context Bus

• Central communication channel
• Publish/subscribe pattern for state updates
• Supports both read and write operations

2. State Contract

class ModuleState:
    # Required properties
    module_id: str
    state_type: str
    current_state: dict
    writeable_properties: list[str]
    
    # Methods
    def publish_state() -> None
    def subscribe_to_state(module_id: str) -> None
    def write_state(property: str, value: Any) -> bool

3. Integration Pattern

• New modules automatically inherit shared-state contract
• Existing modules can be wrapped with state adapters
• Chat agent accesses all module states uniformly

Design Principles

1. Persistence: State survives across sessions
2. Coherence: All modules see consistent view
3. Chat-complementary: Both GUI and chat interfaces work
4. Automatic integration: New tools join ecosystem seamlessly

Use Cases

• Personal AI assistants with multiple tools
• Cross-tool workflow automation
• State-aware AI agents
• Multi-modal personal computing environments

Implementation Considerations

• State conflict resolution (CRDTs, versioning)
• Privacy boundaries between modules
• Performance under high update frequency
• Backward compatibility with existing tools

Paper Reference

Title: PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents Authors: Zhiyuan Wang, Erzhen Hu, Mark Rucker, Laura E. Barnes arXiv: 2604.08529 Category: cs.HC, cs.AI Published: 2026-04-09

Related Concepts

• Shared memory in multi-agent systems
• Event-driven architecture
• Actor model for state management
• Context-aware computing