AI applications 93

A framework and API for building durable AI agents and stateful task flows that can resume after failures.

An AI agent updates npm dependencies in TypeScript and TSX projects and proposes code changes when an upgrade breaks something.

A framework for building teams of AI agents and controlled flows that work together on application tasks.

Framework for building LLM agents designed to connect custom data sources to large language models, simplifying the creation, iteration, and deployment of multi-agent artificial intelligence systems for autonomous task execution.

Open framework in Python to simplify the integration of large language models into applications.

Enhances the performance of large language models by providing an intelligent memory layer to preserve personalized and long-term context in interactions.

Virtual AI companions provide users with the opportunity to communicate, receive emotional support, and have entertainment through chat with customizable avatars.

Advanced artificial intelligence system designed for conducting long phone calls in sales and customer service.

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