All Open Source Apps

Turn messy real-world dataframes into machine learning features — no manual wrangling required.

Compress everything your AI agent reads — tool outputs, logs, RAG chunks, and files — before it reaches the LLM, achieving 60–95% fewer tokens with the same answers.

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

The safe, private runtime that lets autonomous AI agents operate in sandboxed environments governed by declarative YAML policies — blocking data exfiltration, credential leaks, and unauthorized network activity before they happen.

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

Self-hosted error tracking that accepts Sentry SDKs out of the box, so you keep your instrumentation and drop the monthly bill.

A terminal-native agent multiplexer that runs Claude, Codex, Gemini, and other coding agents side by side in real, persistent panes you can detach from and reattach to from anywhere.

AI-powered file type detection that identifies 200+ content types with ~99% accuracy in milliseconds using a compact deep learning model.

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.

A lightweight, stealthy headless browser written in Rust — drop-in compatible with Puppeteer and Playwright, built for AI agents and web scraping at scale.

Define AI agent workflows as code graphs, route tasks across any LLM, and intervene only where it matters.

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

Transform messy, unstructured documents into persistent, navigable memory that AI agents can actually use.

A fast, lightweight, open-source document parser that extracts spatial text, bounding boxes, and Markdown from PDFs and Office files — entirely on your machine.

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

The dbt-native data observability CLI that turns your existing dbt tests and metadata into anomaly detection, lineage graphs, and Slack/Teams alerts — no separate platform required.

A self-hosted, OpenAI-compatible LLM gateway that puts one endpoint in front of 40+ providers, with virtual API keys, per-user budgets enforced before spend, and full usage tracking.

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 keyboard-driven terminal dashboard for managing cron jobs on local machines and remote servers via SSH.

A tier-adaptive 16-step deep research pipeline for Claude Code that produces adversarially-audited reports with full source provenance, backed by a persistent, searchable vault.

An open source inference engine that profiles your hardware, recommends the best local models, and tunes them for the coding agent you already use.

A unified, self-hosted platform for job scheduling, visual workflow automation, server monitoring, alerting, and incident response — built for teams who demand full ownership of their operations stack.

A native, Rust-built control plane that runs and steers Claude Code, Codex, Cursor, Devin, and other coding agents from any device, locally by default with optional CRDT-synced multi-device control.

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