Cerebellum offers a modular platform where developers define agents using declarative plans composed of sequential steps or tool invocations. Each plan can call built-in or custom tools—such as API connectors, retrievers, or data processors—through a unified interface. Memory modules allow agents to store, retrieve, and forget information across sessions, enabling context-aware and stateful interactions. It integrates with popular LLMs (OpenAI, Hugging Face), supports custom tool registration, and features an event-driven execution engine for real-time control flow. With logging, error handling, and plugin hooks, Cerebellum boosts productivity, facilitating rapid agent development for automation, virtual assistants, and research applications.

Overchat utilizes advanced natural language processing and artificial intelligence to facilitate seamless and intelligent conversations. By integrating smart algorithms, it understands user intentions and context, providing relevant and personalized responses. This enables individuals and businesses to enhance their communication strategies, improve customer interactions, and foster meaningful dialogue while saving time and increasing productivity.

MemGPT utilizes advanced machine learning algorithms to provide users with tailored content generation, automate mundane tasks, and streamline workflows. It can assist in project management by tracking tasks, deadlines, and team collaboration tools. Users can also leverage its contextual knowledge features to gain insights while working on various projects.

Mindcore Labs provides a no-code and developer-friendly environment to design and launch AI agents. It features a knowledge graph memory system that retains context over time, supports ingestion of documents and data sources, and integrates with external APIs and plugins. Users can configure agents via an intuitive UI or CLI, test them in real time, and deploy to production endpoints. Built-in monitoring and analytics help track performance and optimize agent behaviors.