All Open Source Apps

A distributed stream processing engine written in Rust that lets you write SQL to run stateful, real-time computations over data streams with subsecond results.

A graph-vector database built from scratch in Rust that unifies graph traversal, vector search, key-value, and relational storage into a single platform for AI applications.

An open-source context database that gives AI agents a unified filesystem for memory, resources, and skills with hierarchical tiered retrieval.

Self-hosted OSINT dashboard that fuses 60+ live intelligence feeds — flight tracking, ship AIS, satellites, CCTV, seismic and radio networks — into one real-time map, with an agent-ready command channel for AI co-analysts.

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

Visual ETL that compiles to Polars — build pipelines on a canvas, export as standalone Python, and run anywhere without platform lock-in.

Open-source time-series database built for real-time ingest, fast SQL queries, and embedded Python automation — powered by Apache Arrow and Parquet.

Fast, stable Redis GUI with cluster, SSH, and massive key support

A self-hosted Rust PaaS that replaces Vercel, Sentry, PostHog, Pingdom, Resend, and E2B with one binary — plus 440+ CLI operations agents like Claude Code can drive directly.

A pretrained decoder-only foundation model by Google Research that delivers zero-shot time series forecasting with calibrated quantile prediction intervals — no training required.

Design database schemas visually in your browser and export executable SQL for any major database — no account required.

The AI Workspace for Finance: Connect Data, Run AI Agents, Build Analytics

Self-hosted URL shortener with custom domains, per-link analytics, and zero build step required.

A next-generation documentation site generator for dbt Core projects — lineage explorer, health scoring, and full-text search for teams without access to dbt Cloud's built-in docs features.

A Rust-based real-time data processing engine for AI/ML feature computation, built on Apache DataFusion and Arrow — positioned as an alternative to Flink, Spark, Chronon, and OpenMLDB with unified streaming, batch, and request-time execution.

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

A RocksDB-based NVMe/S3 cache purpose-built for AI inference workloads — a faster Redis replacement optimized for batch, low-latency, zero-copy reads and writes between data pipelines and inference apps.

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

Morphik is an AI-native ingestion and retrieval engine that lets developers store, search, and reason over visually rich documents — scanned PDFs, manuals, slides, and video — without duct-taping together OCR, an embedding model, and a vector database.

A visual and textual programming platform for data prep and analysis where the node graph and the underlying Enso code are always perfectly in sync, built by an Alteryx co-founder on a GraalVM engine.

Self-hostable personal finance app that gives you full ownership of your financial data with a clean, minimal Rails-powered interface.

Run ML training and LLM inference natively inside PostgreSQL with GPU acceleration — no data movement required.