[Feature] brain: Brain Components Based on Memory & Tool (Inspired by smolagents)

[keli-wen]

✨ Feature Summary

Implement a brain component system in QuantMind, inspired by memory and tool-based agentic architectures. Use smolagents from HuggingFace as a primary reference to guide the development of a lightweight agentic core.

🎯 Motivation

• Enable QuantMind to support agentic workflows by modularizing cognitive ("brain") components.
• Leverage the best practices from smolagents, adapting their lightweight and extensible approach.
• Facilitate further extensions for memory and tool integrations.

📋 Detailed Description

The goal is to create a flexible, composable system for brain components:

• Components should be inspired by agentic patterns (memory, tools, reasoning, etc.).
• Take smolagents (https://huggingface.co/spaces/smol-ai/smolagents) as an example for agentic patterns and extensibility.
• Provide interfaces for memory management, tool integration, and action planning.

🔧 Proposed Implementation

• Study the design and interfaces of smolagents.
• Define core abstractions (e.g., Brain, Memory, Tool, AgentStep).
• Develop a minimal working prototype that can be extended.
• Ensure components are lightweight and modular.

API Design

class Brain:
    def __init__(self, memory: Memory, tools: List[Tool]):
        ...
    def step(self, input: str) -> str:
        ...

Configuration

brain:
  memory: basic
  tools:
    - search
    - calculator

🎨 User Experience

• Developers can easily compose new agents by mixing and matching memory and tool modules.
• Clear documentation and examples provided.

📊 Use Cases

1. Research agent: Uses memory and search tools to answer questions.
2. Trading assistant: Combines memory and financial calculators for decision support.
3. Conversation bot: Employs memory to track dialogue and external tools for real-time info.

🔗 Related Issues

• Relates to # (add if known)
• Blocks # (add if known)
• Depends on # (add if known)

Implementation Considerations

Breaking Changes

• This feature would introduce breaking changes
• This feature is backward compatible

Dependencies

• Requires new dependencies
• Uses existing dependencies only

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Checklist

• I have searched existing issues to avoid duplicates
• I have provided a clear and detailed description
• I have explained the motivation and use cases
• I have considered the implementation approach
• I have thought about potential breaking changes

[keli-wen]

Closing: this predates the pivot to OpenAI Agents SDK. The self-built agent runtime (brain/, tools/, custom Memory) was removed in PR #70, and a subsequent design review concluded QuantMind will not ship its own agent memory subsystem (see PR #77 closing note): semantic memory is quantmind/library, working memory is SDK Sessions, and agent-side memory belongs to the agent harness.