This is a personal AI agent that can automate your daily task like sending tweets creating documents,Summarizing Emails,doing research and much more

This code in langchain and langgraph is a personalized AI Agent that can help you in your tasks.

Link to the code

This Notebook has the Agentic AI workflow which can perform several tasks such as:

Enhancer: Use prompt enhancer as the first preference, to Focuses on clarifying vague or incomplete user queries, improving their quality, and ensuring they are well-defined before further processing.

Researcher: Specializes in gathering information.

research_paper_node: this node helps to gather information about a research paper.

Coder: Handles technical tasks related to calculation, coding, data analysis, and problem-solving, ensuring the correct implementation of solutions.

Email Summariser: this nod is responsible to get emails of the user and summarise them.

document_create_node: this node on its on do research based on specific informations and then create an docs and give user the link

tweeter node: This node can do research for you and generate automatic tweets based upon your requirement's for you so you can go hands free

slack Summarizer: This node summarizes all your slack messages for you so you don't need to read each individually.

The Main Supervisor Node here is responsible to delegate task to lower nodes based on user queries.

Using this code Snippet you can prompt the Agent and use for your Application.

import pprint
inputs = {
    "messages": [
        ("user", "get the emails and give me a summary of them"),
    ]
}
for output in graph.stream(inputs):
    for key, value in output.items():
        if value is None:
            continue
        pprint.pp(value['messages'][-1].content)