A comprehensive AI platform offering tools for building scalable conversational agents, AI-ready applications, and a unified knowledge base.
An open-source AI agent that integrates memory and deliberation capabilities, enabling context-aware and thoughtful responses.
An open-source platform providing observability for developers working with Large Language Models (LLMs), offering tools for logging, monitoring, and debugging.
An open-source framework for developing autonomous data labeling agents that learn and adapt through iterative processes.
A philanthropically-funded initiative dedicated to developing semi-autonomous AI systems to accelerate scientific research and democratize access to advanced scientific expertise.
An open-source, self-programming AI system utilizing large language models to autonomously document, search, and write code, advancing towards artificial general intelligence.
An open-source framework enabling developers to build, manage, and deploy AI assistants using large language models and retrieval augmented generation.
An open-source framework for building and debugging applications that make decisions, such as chatbots, agents, and simulations, using simple Python building blocks.
An open-source LLM engineering platform offering observability, metrics, evaluations, and prompt management to debug and enhance large language model applications.
