grami-ai 0.3.127

A dynamic and flexible AI agent framework for building intelligent, multi-modal AI agents

GRAMI-AI: Dynamic AI Agent 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 Features

• Async AI Agent Creation
• Multi-LLM Support (Gemini, OpenAI, Anthropic, Ollama)
• Extensible Tool Ecosystem
• Multiple Communication Interfaces
• Flexible Memory Management
• Secure and Scalable Architecture

Installation

Using pip

pip install grami-ai

From Source

git clone https://github.com/YAFATEK/grami-ai.git
cd grami-ai
pip install -e .

Quick Start

Basic Async Agent Creation

import asyncio
from grami.agent import AsyncAgent
from grami.providers.gemini_provider import GeminiProvider

async def main():
    # Initialize a Gemini-powered Async Agent
    agent = AsyncAgent(
        name="AssistantAI",
        llm=GeminiProvider(api_key="YOUR_API_KEY"),
        system_instructions="You are a helpful digital assistant."
    )

    # Send an async message
    response = await agent.send_message("Hello, how can you help me today?")
    print(response)

    # Stream a response
    async for token in agent.stream_message("Tell me a story"):
        print(token, end='', flush=True)

asyncio.run(main())

Example Configurations

1. Async Agent with Memory and Streaming

from grami.agent import AsyncAgent
from grami.providers.gemini_provider import GeminiProvider
from grami.memory.lru import LRUMemory

agent = AsyncAgent(
    name="MemoryStreamingAgent",
    llm=provider,
    memory=LRUMemory(capacity=100),
    system_instructions="You are a storyteller."
)

2. Async Agent without Memory

agent = AsyncAgent(
    name="NoMemoryAgent",
    llm=provider,
    memory=None,
    system_instructions="You are a concise assistant."
)

3. Async Agent with Streaming Disabled

response = await agent.send_message("Tell me about AI")

4. Async Agent with Streaming Enabled

async for token in agent.stream_message("Explain quantum computing"):
    print(token, end='', flush=True)

Roadmap and TODO

Core Framework

• Async-first design
• Multi-provider support
• Dynamic agent creation
• Flexible memory management

Memory and State Management

• Pluggable memory providers
  • In-memory state storage
  • LRU Memory implementation
• Async memory operations
• Persistent memory storage
• Advanced memory indexing

Provider Integrations

• Gemini Provider
• OpenAI Provider
• Anthropic Provider
• Ollama Provider

Security and Performance

• Enhanced encryption for API keys
• Rate limiting mechanisms
• Secure communication protocols
• Performance optimization for large-scale deployments

Contributing

Contributions are welcome! Please check our GitHub repository for guidelines.

Support

• Email: [e-mail]
• GitHub: GRAMI-AI Issues

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