All Open Source Apps

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

Open source payments infrastructure that turns software into a business — subscriptions, usage-based billing, digital products, and merchant-of-record compliance in one platform.

Open source, self-hostable webhook infrastructure that handles delivery, retries, HMAC signing, and multi-tenant event management so you never have to build a webhooks system from scratch.

A fast, secure WebAssembly runtime that runs lightweight containers anywhere — from desktop and cloud to the edge and the browser.

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.

Open-source no-code platform to build databases, apps, automations, and AI agents — self-hosted or cloud, with full data ownership.

Git, but better — a modern version control client with stacked branches, parallel workflows, unlimited undo, and first-class support for AI-powered development.

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.

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

Born out of Y Combinator's S2023 batch, ParadeDB is a Postgres extension that delivers Elasticsearch-quality BM25 search and real-time analytics without a separate search cluster to manage.

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.

Fast, lightweight, schema-less search backend in Rust — microsecond queries, 30MB RAM, no document storage required.

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

A temporal, verifiable graph database with git-like branching, integrated vector/text/geo search, and RDF/SPARQL/JSON-LD/openCypher support — benchmarked at 10.4x faster than the next database on the full Wikidata dump.

Compose, extend, and observe every backend service in real time using three primitives: Workers, Functions, and Triggers.

Run LLM-generated Python code safely inside your agent—no containers, no CPython, no compromise—with sub-microsecond startup.

Embedded KV store built on object storage with zero replication cost

A local desktop hub that unifies SSH, Docker, Kubernetes, VMs, and remote desktops into one interface — no agents, no remote setup.

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 zero-configuration terminal text editor with familiar keybindings, full mouse support, LSP-powered IDE features, and a built-in orchestrator for running multiple coding agents in parallel worktrees.

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.

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

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.