All Open Source Apps

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

Detect malicious network traffic using 47+ live threat feeds, heuristics, and a fat-client reporting dashboard — no commercial stack required.

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

The open source ERP platform that integrates CRM, accounting, inventory, manufacturing, and 60+ business apps into one seamlessly connected suite.

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

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

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

The open-source, unlimited NotebookLM alternative with real-time collaboration, a desktop app, and no vendor lock-in.

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.

The world's most flexible open-source survey platform with 900+ templates, conditional logic, 80+ languages, and full GDPR compliance for any scale.

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.

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.

Give your LLM agents on-the-job training—ART lets you apply GRPO reinforcement learning to any multi-step agentic workflow with minimal code changes.

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

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

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.

Privacy-first AI meeting assistant that transcribes and summarizes your meetings entirely on your local machine — no cloud, no data leakage.

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.