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An orchestration framework for evolving autonomous AI agents

Project description

โš”๏ธ๐Ÿ”— EvoAgent

โšก An orchestration framework for all your AI needs โšก

    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•—   โ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ•—   โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
    โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•—    โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ• โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ•‘โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•
    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ•”โ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   
    โ–ˆโ–ˆโ•”โ•โ•โ•  โ•šโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘    โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•  โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   
    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ• โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•    โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘ โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   
    โ•šโ•โ•โ•โ•โ•โ•โ•  โ•šโ•โ•โ•โ•   โ•šโ•โ•โ•โ•โ•โ•     โ•šโ•โ•  โ•šโ•โ• โ•šโ•โ•โ•โ•โ•โ• โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ•  โ•šโ•โ•โ•โ•   โ•šโ•โ•   
    =====================================================================
         ๐Ÿค– Welcome to EVO AGENT! Your Evolution in AI Begins Here ๐Ÿค–
    =====================================================================

Features

  • ๐Ÿค– Multiple LLM Support (OpenAI, Anthropic, Groq)
  • ๐Ÿ“š Vector Store Integration (FAISS, Qdrant, ChromaDB)
  • ๐Ÿ” Advanced Document Processing
  • ๐ŸŽ™๏ธ Speech-to-Text Capabilities
  • ๐ŸŒ Web Crawling
  • ๐Ÿ“Š Data Visualization
  • ๐ŸŽฏ RAG Applications
  • ๐Ÿค PhiData Agent Integration
  • ๐Ÿ’ฌ Interactive Chatbots
  • ๐Ÿค– Self-Evolving Autonomous Agents

Installation

pip install evoagent

Usage

EvoAgent Framework

from evoagent.agent import Agent

def example_function(input_text: str) -> str:
    return f"Processed: {input_text}"

agent = Agent()
agent.register_function(example_function)

query = "Analyze market trends in AI"
response = agent.process_query(query)
print(response)

RAG Implementation

from evoagent.vector_store import FAISSVectorStore
from evoagent.embeddings import HuggingFaceEmbeddings
from evoagent.llms import GroqLLM

vector_store = FAISSVectorStore()
embeddings = HuggingFaceEmbeddings()
llm = GroqLLM("llama3-8b-8192")

text = "AI is transforming industries with automation."
vector_store.add(text, embeddings.embed(text))

query = "How is AI impacting industries?"
response = llm.generate(query)
print(response)

Chatbot Integration

from evoagent.chatbot import Chatbot

chatbot = Chatbot(title="EvoAgent Chatbot")
chatbot.chat()

Contributing

git clone https://github.com/yourusername/evoagent.git
cd evoagent
pip install -e .

License

This project is licensed under the MIT License - see the LICENSE file for details.

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