All Open Source Apps

The open source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLMs and agents at scale.

AI-Native Distributed SQL Database for Agentic Workloads

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.

The most popular Kubernetes-native workflow engine for orchestrating containerized DAGs, ML pipelines, CI/CD, and parallel batch jobs at scale.

Open-source ELT platform with 600+ connectors for moving data from any source to warehouses, lakes, and AI agents.

Open-source BI tool with drag-and-drop dashboards, 20+ data source connectors, and AI-powered natural language queries — a self-hosted alternative to Tableau.

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

Event-driven orchestration platform for data, AI, and infrastructure workflows — define everything in YAML, run anywhere at scale.

The most powerful node-based AI workflow engine for creating images, video, 3D models, and audio with full control over every generation step.

Open source AI gateway and Python SDK that gives you one OpenAI-compatible interface to call 100+ LLM providers, with built-in routing, cost tracking, guardrails, and virtual keys.

Build enterprise-grade AI agents with RAG, workflows & multi-modal support

Redash lets anyone connect to 35+ SQL and NoSQL data sources, write a query in the browser, and turn the result into a shared dashboard — no separate BI suite required.

The SQL database you can branch, merge, diff, and clone — Git for your data, MySQL-compatible and ready for multi-agent AI workflows.

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

Run Llama, Gemma, DeepSeek, and other open LLMs on your own machine with one command and an OpenAI-compatible API.

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.

Run and fine-tune LLMs, diffusion, audio and embedding models on your own hardware, from a native desktop app, a browser UI, or a Python library.

The batteries-included Python agent harness — planning, sub-agents, filesystem, shell, memory, and skills bundled in, built on LangGraph.

A Postgres-backed orchestration engine for background tasks, AI agents, and durable workflows that replaces Redis queues and multi-datastore durable execution platforms with a single self-hostable service.

Postgres-native ETL that streams change data capture in real time to Snowflake, BigQuery, ClickHouse, S3, and Kafka — up to 10x faster than general-purpose pipelines, managed through a familiar Postgres SQL interface.

Turn coding agents into real teammates — assign issues, track progress, and compound reusable skills across a vendor-neutral, self-hosted platform.

The open-source API layer that turns local LLMs into production private AI applications with full Claude API compatibility

The fastest BI tool for humans and agents — define metrics, models, and dashboards as code and query them instantly on ClickHouse or DuckDB.