Julep AI is a cutting-edge platform designed for the development of **stateful AI agents** that can remember past interactions and perform complex tasks. It serves as a comprehensive infrastructure layer between Large Language Models (LLMs) and your software, facilitating seamless integration and enhancing functionality. Julep's innovative approach to AI development introduces a disciplined software engineering framework, making it particularly useful for developers aiming to create sophisticated AI solutions. Julep AI offers a robust feature set tailored for the creation of advanced AI applications. Below is a detailed summary of its main features: Julep AI can be employed in a variety of applications across multiple domains: To get started with Julep AI, developers can explore the official documentation provided by the Julep team or contact them directly for access to trials or additional resources. For those interested in implementation, a GitHub repository may also be available, where you can find code samples and integration guidelines.Features
Feature
Description
Statefulness by Design
Manages conversation history, allowing for coherent and context-aware interactions.
Built-in RAG
Enables adding, deleting, and updating documents to enhance response accuracy.
Extensive Tool Integration
Over 90 built-in tools for seamless connectivity with external services.
Dynamic LLM Switching
Switch between different LLMs while preserving state.
Agentic Workflows
Supports asynchronous execution of tasks by multiple agents.
Self-Healing Capabilities
Automatic retries and error handling ensure smooth operation.
Persistent AI Agents
Remembers context over long-term interactions.
Stateful Sessions
Tracks past interactions for personalized responses.
Multi-Step Tasks
Enables complex scenarios involving decision-making and loops.
Local-first Deployment
Runs applications on local servers using Docker Compose for data privacy.
Use Cases
How to get started
Julep AI's pricing model is free and open source.Julep AI Pricing