Open-source data scientist agent that runs Python (locally or in the cloud) to explore datasets, build models, and generate detailed analysis reports using the ReAct framework.
Open-source multimodal GLM from Z.ai unifying vision, text, and tool calling for long-context reasoning, search, coding, and UI-to-code.
Autonomous AI scientist for long research campaigns that analyzes data and literature to produce fully cited scientific reports.
Open-source framework that turns single-cell gene expression into 'cell sentences' so LLMs can analyze and generate biology insights.
Free browser‑based JupyterLab environment for ML experiments with CPU/GPU and persistent storage.
Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.
Open-source multi-agent LLM framework for end-to-end automated machine learning pipelines.
A multimodal search foundation platform powering embeddings, rerank, classification & RAG workflows.
Open‑source large‑scale reasoning model with 1 million token context and hybrid Mixture‑of‑Experts architecture.
A productivity engine that builds full projects—reports, dashboards, code, mini‑apps—through AI‑powered autonomous workflows.
An open‑source vector database and embeddings engine for building retrieval‑augmented AI applications.
A fully managed vector database enabling scalable, real-time semantic search for AI applications.
