All Open Source Apps

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.

A Microsoft-built training framework that optimizes AI agents with reinforcement learning, automatic prompt optimization, or supervised fine-tuning — with near-zero code changes to your existing agent, in any framework.

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

A production-ready 2D/3D game engine written in Rust with a built-in scene editor, physics, and hot-reloading game scripts

A free, open source procedural 2D design tool that unifies vector, raster, motion graphics, and generative art in a single node-based nondestructive workflow.

Mesh LLM pools GPUs and memory across every machine you own into one OpenAI-compatible API, so agents tap distributed compute instead of a single GPU box or a metered cloud bill.

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

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.

Open-source Webhooks-as-a-Service: deliver events to your users with auto-retry, signed payloads, and a real-time subscriber dashboard — all without building the infrastructure yourself.

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.

Self-hosted photo library with AI-powered face recognition, semantic search, and automatic event albums — no cloud required.

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

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

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

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.

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

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

A YC-backed, open-source knowledge graph skill for AI coding assistants — type /graphify and it maps your entire project (code, docs, PDFs, images, videos) into a queryable graph instead of grepping through files.

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.

Open-source, real-time collaborative LaTeX editor with sandboxed compilation and full TeXLive support for self-hosted academic and research teams.

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