All Open Source Apps

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

Open-source AI-native platform to build and deploy internal tools, workflows, and AI agents with a visual drag-and-drop builder and 80+ data source integrations.

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

Self-hostable AI platform with agentic RAG, 50+ connectors, deep research, code execution, and support for every major LLM provider.

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

The extensible, privacy-first AI platform that runs Ollama, OpenAI, and any LLM backend behind a polished, feature-packed web interface.

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 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 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.

Skyvern (YC S2023) automates browser-based workflows by pairing LLMs with computer vision, letting agents click, fill, and extract data on sites they've never seen, without brittle XPath selectors that break on every layout change.

Open-source agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.

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.

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.

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.

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.

Unified open-source platform for AI agent orchestration and workflow automation with 180+ connectors, MCP support, and durable execution.

Local-first AI memory with verbatim storage, pluggable backends, and 96.6% retrieval recall on LongMemEval — no API key required.