julep

Introduction

Julep is a platform designed to create AI agents capable of remembering past interactions and performing tasks that require multiple steps. It provides the ability for these agents to have long-term memory and handle complex workflows that involve decision-making, loops, and parallel processing, integrating with numerous external tools and APIs.

The main strength of Julep lies in its capability to manage complex scenarios that involve:

• Multiple steps and intricate processes
• Decision-making based on AI model outputs
• Execution of parallel tasks
• Integration with a multitude of tools
• Prolonged running time for operations

Julep moves beyond the traditional simple chains of linear AI model operations, offering an expansive suite for more sophisticated AI agent applications.

Key Features

1. Persistent AI Agents: Julep facilitates AI agents that can remember past interactions, maintaining context and information over extended interactions.

2. Stateful Sessions: It enables the tracking of past interactions for AI agents, ensuring personalized and contextual responses and actions.

3. Multi-Step Tasks: Users can create complex workflows with multiple steps, including decision loops and branching processes.

4. Task Management: Julep effectively manages long-running tasks that might require significant time to complete.

5. Built-in Tools: The platform supports integration with both built-in tools and external APIs to enhance task execution capabilities.

6. Self-Healing: Automated mechanisms within Julep retry failed steps and resend messages to ensure smooth, continuous task processing.

7. RAG (Retrieve and Guide): Julep provides a document store to help build a system that retrieves and uses data efficiently.

Quick Example

Imagine a Research AI agent that can do the following:

• Accept a topic from a user
• Generate 100 search queries for that topic
• Perform web searches in parallel
• Summarize the search results
• Send the summary to a platform like Discord

With Julep, executing such a workflow requires under 80 lines of code. The task would be fully managed on Julep's servers, requiring minimal effort from the user.

Installation

To get started with Julep, users can install it using npm for Node.js or pip for Python:

Node.js Installation:

npm install @julep/sdk

Python Installation:

pip install julep

Python Quick Start 🐍

Here is a brief Python guide for setting up a storytelling agent:

1. Setup: Initialize your environment and import necessary libraries.
2. Create an Agent: Use Julep's API to define a new agent, specifying its capabilities and creative focus.
3. Task Creation: Define the task for the agent, using YAML to describe the workflow and integrate various tools and resources.
4. Execute the Task: Run the defined task, watch the task execution in real-time, and manage results effectively.

Node.js Quick Start 🟩

For Node.js users, Julep offers a streamlined process to create and manage AI tasks with JavaScript. The setup includes:

1. Agent Creation: Define AI agents with specific roles tailored to storytelling or other applications.
2. Task Creation: Develop workflows using YAML to outline task steps and tool integrations.

Julep provides a comprehensive framework to harness the capabilities of AI in multifaceted applications, whether for research, storytelling, or beyond. Its flexibility and robust feature set make it ideal for developers looking to extend AI operations beyond simple query-response tasks.