All Open Source Apps

Define, schedule, and monitor complex data workflows as Python code — with a powerful UI, 80+ provider integrations, and battle-tested scalability across thousands of production deployments.

Auto-magical MLOps platform that tracks experiments, versions data, orchestrates pipelines, and serves models with just two lines of code.

Build, run, and manage agent platforms with a full production stack — SDK, runtime, and control plane included.

Open-source self-hosted PaaS — deploy apps, databases and 280+ services on your own servers with no vendor lock-in

Open-source GenBI engine that lets AI agents turn natural-language questions into governed SQL, charts, and shareable dashboards across 20+ data sources — no vendor lock-in, no black-box prompts.

A reactive Python notebook that eliminates hidden state, runs reproducibly, and deploys as a web app or script — stored as pure Python, built for the AI era.

Secure, fast, and extensible sandbox runtime for AI agents with multi-language SDKs and Docker/Kubernetes runtimes.

Drop your files and search them instantly — no vector DB, no indexing pipeline, just raw data queried by a self-evolving intelligence layer.

Collaborate on high-quality AI training data with a self-hosted annotation platform built for LLMs, NLP, and multimodal models.

Federated AI search and RAG across 100+ enterprise sources—no data extraction, no vector database required.