All Open Source Apps

Transform OpenAPI specifications into interactive, browser-based API documentation that developers and consumers can explore and test live.

Self-hosted Backend-as-a-Service for Node.js with REST, GraphQL, real-time Live Query, cloud code, and pluggable adapters for any infrastructure.

Open-source vector database and search engine built in Rust for production-grade AI applications — from semantic search to RAG pipelines and recommendation systems.

Open-source, embedded vector database built on the Lance columnar format for fast multimodal search across billions of vectors, backed by Y Combinator (W23).

The offline-first diagram editor that puts security above all else — no account, no data leaving your machine, no compromises.

OpenAI's open-source CLI coding agent that reads, edits, and runs code in your terminal using natural language prompts.

An open source AI-native proxy that secures, observes, and governs agent-to-LLM, agent-to-tool, and agent-to-agent communication through MCP, A2A, and unified LLM routing.

Cloud-native search engine for logs and traces, delivering sub-second search directly on S3, GCS, or Azure Blob storage at a fraction of Elasticsearch's cost.

Embedded KV store built on object storage with zero replication cost

An incremental data indexing engine that keeps AI agent context perpetually fresh by reprocessing only what changed.

Stateful actors as a primitive for AI agents, real-time collaboration, and durable execution — with in-memory state, WebSockets, queues, and scheduling built in.

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.

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.

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.

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

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.

The first AI agent harness native to the browser — a Chrome/Firefox extension that drives your tabs, spins up sandboxed compute (JS notebooks, WASM Linux VMs), and shares what it builds peer-to-peer, with no backend, no telemetry, and BYOK.

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.

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.

Run a full Linux virtual machine entirely in your browser using WebAssembly — no server required.