# GRAMI-AI: Dynamic AI Agent Framework

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## Overview

GRAMI-AI is a revolutionary, async-first AI agent framework designed to create intelligent, collaborative, and highly customizable AI agents across multiple domains.

## Key Features

- Dynamic 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

```bash
pip install grami-ai
```

### From Source

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

## Quick Start

### Basic Agent Creation

```python
from grami.agent import Agent
from grami.providers import GeminiProvider

# Initialize a Gemini-powered Agent
agent = Agent(
    name="AssistantAI",
    role="Helpful Digital Assistant",
    llm_provider=GeminiProvider(api_key="YOUR_API_KEY"),
    tools=[WebSearchTool(), CalculatorTool()]
)

# Send a message
response = await agent.send_message("Help me plan a trip to Paris")
print(response)
```

## Examples

We provide a variety of example implementations to help you get started:

### Available Examples

1. **Basic Agents**
   - `examples/gemini_example.py`: Multi-tool Gemini Agent
   - `examples/openai_example.py`: OpenAI-powered Agent
   - `examples/anthropic_example.py`: Claude Agent Implementation

2. **Advanced Scenarios**
   - `examples/agent_crew_example.py`: Multi-Agent Collaboration
   - `examples/web_research_agent.py`: Web Research Specialist
   - `examples/content_creation_agent.py`: Content Generation Agent

3. **Tool Integration**
   - `examples/custom_tool_example.py`: Creating Custom Tools
   - `examples/kafka_communication_example.py`: Inter-Agent Communication

## Documentation

For detailed documentation, visit our [Documentation Website](https://grami-ai.readthedocs.io)

## Contributing

We welcome contributions! Please see our [Contribution Guidelines](CONTRIBUTING.md)

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details

## Community

- Star the project on GitHub
- Join our [Discord Community](https://discord.gg/your-discord-invite)
- Follow us on [Twitter/X](https://twitter.com/yafatek)

## Development Checklist

### Core Framework Design
- [ ] Implement `AsyncAgent` base class with dynamic configuration
- [ ] Create flexible system instruction definition mechanism
- [ ] Design abstract LLM provider interface
- [ ] Develop dynamic role and persona assignment system
- [ ] Implement multi-modal agent capabilities (text, image, video)

### LLM Provider Abstraction
- [ ] Unified interface for diverse LLM providers
  - [ ] Google Gemini integration (start_chat(), send_message())
  - [ ] OpenAI ChatGPT integration
  - [ ] Anthropic Claude integration
  - [ ] Ollama local LLM support
- [ ] Standardize function/tool calling across providers
- [ ] Dynamic prompt engineering support
- [ ] Provider-specific configuration handling

### Communication Interfaces
- [ ] WebSocket real-time communication
- [ ] REST API endpoint design
- [ ] Kafka inter-agent communication
- [ ] gRPC support
- [ ] Event-driven agent notification system
- [ ] Secure communication protocols

### Memory and State Management
- [ ] Pluggable memory providers
  - [ ] In-memory state storage
  - [ ] Redis distributed memory
  - [ ] DynamoDB scalable storage
  - [ ] S3 content storage
- [ ] Conversation and task history tracking
- [ ] Global state management for agent crews
- [ ] Persistent task and interaction logs

### Tool and Function Ecosystem
- [ ] Extensible tool integration framework
- [ ] Default utility tools
  - [ ] Kafka message publisher
  - [ ] Web search utility
  - [ ] Content analysis tool
- [ ] Provider-specific function calling support
- [ ] Community tool marketplace
- [ ] Easy custom tool development

### Agent Crew Collaboration
- [ ] Inter-agent communication protocol
- [ ] Workflow and task delegation mechanisms
- [ ] Approval and review workflows
- [ ] Notification and escalation systems
- [ ] Dynamic team composition
- [ ] Shared context and memory management

### Use Case Implementations
- [ ] Digital Agency workflow template
  - [ ] Growth Manager agent
  - [ ] Content Creator agent
  - [ ] Trend Researcher agent
  - [ ] Media Creation agent
- [ ] Customer interaction management
- [ ] Approval and revision cycles

### Security and Compliance
- [ ] Secure credential management
- [ ] Role-based access control
- [ ] Audit logging
- [ ] Compliance with data protection regulations

### Performance and Scalability
- [ ] Async-first design
- [ ] Horizontal scaling support
- [ ] Performance benchmarking
- [ ] Resource optimization

### Testing and Quality
- [ ] Comprehensive unit testing
- [ ] Integration testing for agent interactions
- [ ] Mocking frameworks for LLM providers
- [ ] Continuous integration setup

### Documentation and Community
- [ ] Detailed API documentation
- [ ] Comprehensive developer guides
- [ ] Example use case implementations
- [ ] Contribution guidelines
- [ ] Community tool submission process
- [ ] Regular maintenance and updates

### Future Roadmap
- [ ] Payment integration solutions
- [ ] Advanced context understanding
- [ ] Multi-language support
- [ ] Enterprise-grade security features
- [ ] AI agent marketplace