grami-ai 0.3.105

Growth and Relationship AI Management Infrastructure

GRAMI-AI: Adaptive AI Agent Orchestration Framework

Overview

GRAMI-AI is a cutting-edge, async-first AI agent framework designed to solve complex computational challenges through intelligent, collaborative agent interactions. Built with unprecedented flexibility, this library empowers developers to create sophisticated, context-aware AI systems that can adapt, learn, and collaborate across diverse domains.

Key Innovations

• Modular Agent Architecture: Seamlessly compose and deploy AI agents with dynamic capabilities
• Multi-Provider LLM Integration: Leverage models from OpenAI, Anthropic, Google Gemini, and more
• Async-First Design: High-performance, non-blocking agent interactions
• Extensible Tool Ecosystem: Easily integrate custom tools and expand agent capabilities
• Advanced Memory Management: Intelligent context retention and retrieval

Use Cases

While initially conceived for marketing and growth solutions, GRAMI-AI's flexible architecture supports a wide range of applications:

• Marketing Intelligence
• Research Automation
• Complex Problem Solving
• Interactive AI Assistants
• Cross-Domain Knowledge Synthesis

Installation

pip install grami-ai

Quick Start

Basic Agent Creation

import asyncio
from grami_ai.core.agent import AsyncAgent

async def main():
    # Create an AI agent for marketing
    agent = await AsyncAgent.create(
        name="MarketingAssistant",
        llm="gemini",
        tools=["content_generation", "web_search"]
    )

    # Generate marketing content
    response = await agent.process({
        "type": "content_request",
        "platform": "instagram",
        "niche": "tech",
        "content_type": "post"
    })

    print(response)

# Run the agent
asyncio.run(main())

Core Components

Agent

• Orchestrates LLM, memory, tools, and interfaces
• Async message processing
• Dynamic tool selection

Configuration

GRAMI-AI supports environment-based configuration for:

• Development
• Testing
• Production

Interfaces

• WebSocket
• Kafka Consumer
• Custom Interface Support

Security

• Environment variable management
• Configurable token expiration
• Resource limits

Contributing

We welcome contributions! Check out our Contributing Guidelines.

License

MIT License

Contact

• Email: [e-mail]
• GitHub: WAFIR-Cloud/grami-ai

Community

Join our community to collaborate, share ideas, and push the boundaries of AI-powered solutions.

Acknowledgements

Built with ❤️ by YAFATek Solutions, pushing the frontiers of intelligent computing.