Feature Request: Enhanced Memory Management for Multi-Agent Systems

[3q5y]

Description

While working with LightAgent's multi-agent collaboration features, I noticed an opportunity to enhance the memory management system when multiple agents are interacting within the same context. Currently, each agent maintains its own memory state through the CustomMemory class, but there could be benefits to implementing a shared memory pool for related agents in a swarm.

Proposed Solution

1. Implement a SharedMemoryPool class that can:

   • Maintain a centralized memory store for agent swarms
   • Handle memory conflicts between agents
   • Provide memory isolation when needed
   • Support memory synchronization across agents

2. Add configuration options for:

   • Memory sharing policies
   • Access control between agents
   • Memory retention strategies
   • Cross-agent memory querying

Expected Benefits

• Improved collaboration between agents through shared context
• Reduced memory redundancy across agents
• Better handling of complex multi-agent scenarios
• More efficient resource utilization

Example Implementation

from LightAgent import LightSwarm, LightAgent

# Proposed usage
swarm = LightSwarm(shared_memory=True)

agent_a = LightAgent(
    name="Agent A",
    memory_pool="shared_pool_1",  # Specify shared memory pool
    role="Receptionist"
)

agent_b = LightAgent(
    name="Agent B",
    memory_pool="shared_pool_1",  # Same pool for shared context
    role="Technical Support"
)

swarm.register_agent(agent_a, agent_b)

Questions

1. Would this feature align with LightAgent's lightweight design philosophy?
2. Are there any potential performance implications to consider?
3. How should we handle memory consistency across different model backends?

Environment

• LightAgent version: 0.2.7
• Python version: 3.8+
• Operating System: Linux/MacOS/Windows

Additional Context

This feature request is inspired by real-world usage patterns in customer service scenarios where multiple specialized agents need to maintain consistent context while handling user inquiries.

Let me know if any additional information would be helpful!

[wxai-space]

Great idea! The SharedMemoryPool aligns with LightAgent's lightweight philosophy and could be added as an optional module. We'll explore performance optimizations (like async sync) and backend-specific memory consistency solutions. This is now on our roadmap—we'd love your input during testing. Thanks for the thoughtful proposal!