Agent Framework 🤖

Author: daniellopez882

Agent Framework is a powerful Python foundation for building sophisticated, context-aware AI agents. It provides developers with the essential building blocks to create agents with distinct personas, structured reasoning, conversational memory, and robust tool integration.

Key Features ✨

• 🎭 Persona Management: Define rich identities, roles, and behavioral constraints for your AI agents.
• 🧠 Conversational Memory: Maintain state and context across multi-turn interactions for seamless conversations.
• 🎯 Strategic Reasoning: Empower agents to decompose complex requests into actionable plans using advanced reasoning patterns.
• 💾 State Persistence: Built-in support for saving and restoring agent states, ensuring continuity across sessions.
• 📚 RAG-based Context: Integrate Retrieval-Augmented Generation to provide agents with access to external knowledge bases.
• 🔧 Tool Extensibility: Easily extend agent capabilities by connecting them to custom tools, APIs, and external services.

Installation

1. Environment Setup

Create and activate a virtual environment to keep your dependencies isolated:

python -m venv venv
# On Windows:
.\venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

2. Install Dependencies

Install the required packages using pip:

pip install -r requirements.txt

Getting Started

The framework is structured into modular components that demonstrate core agentic capabilities. You can explore the implementation across different complexity levels:

1. Persona & Basics: Basic agent configuration and personality definition.
2. Memory Systems: Implementing short-term and persistent memory.
3. Reasoning Engines: Enabling agents to plan and execute tasks.
4. Context & Retrieval: Adding RAG capabilities for knowledge-based tasks.
5. Tool Integration: Connecting agents to the real world through custom tools.

To run a basic flow, navigate to a component directory and execute the runner:

python flow.py

Architecture

This framework is designed for extensibility. Each module handles a specific aspect of the agent's lifecycle, from initial prompt construction to tool execution and state management.

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Rebranded and maintained by daniellopez882.