All Open Source Apps

The open source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLMs and agents at scale.

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

Distributed SQL database for real-time analytics at scale

Build, run, and manage agent platforms with a full production stack — SDK, runtime, and control plane included.

Open-source enterprise data warehouse unifying analytics, vector search, full-text search, and AI agent orchestration in a single Rust-built engine on S3.

The most powerful node-based AI workflow engine for creating images, video, 3D models, and audio with full control over every generation step.

Open source AI gateway and Python SDK that gives you one OpenAI-compatible interface to call 100+ LLM providers, with built-in routing, cost tracking, guardrails, and virtual keys.

Build enterprise-grade AI agents with RAG, workflows & multi-modal support

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

A high-performance, open-source time-series database built for financial market data, IoT telemetry, and real-time analytics, combining a zero-GC Java/C++ core with SIMD-accelerated SQL and a WAL-to-Parquet storage engine.

Open-source reporting platform to build live dashboards from SQL, NoSQL, APIs, and SaaS tools with an AI assistant that creates charts from natural language.

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

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

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.

Run and fine-tune LLMs, diffusion, audio and embedding models on your own hardware, from a native desktop app, a browser UI, or a Python library.

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.

The batteries-included Python agent harness — planning, sub-agents, filesystem, shell, memory, and skills bundled in, built on LangGraph.

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.

The open-source API layer that turns local LLMs into production private AI applications with full Claude API compatibility

Embedded KV store built on object storage with zero replication cost

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.