All Open Source Apps

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

Developer-first error tracking and performance monitoring platform with AI-powered root-cause analysis across 20+ languages and frameworks.

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

Self-hosted website change detection with AI-powered smart alerts, browser automation, price tracking, and 85+ notification channels.

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

The all-in-one open source product platform combining analytics, session replay, feature flags, error tracking, AI observability, and a built-in data warehouse in a single self-hostable stack.

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 cron job and background task monitoring that alerts you when your scheduled jobs go silent.

A fast, fully static, and secure self-hosted startpage with Docker service discovery and integrations for over 160 services.

Self-hosted monitoring for every service you run — 23 monitor types, 95 notification channels, live dashboards, and public status pages with no vendor lock-in.

The open-source AIOps and alert management platform that unifies 130+ monitoring tools into a single pane of glass with AI-powered correlation, deduplication, and workflow automation.

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 AI observability platform for tracing, evaluating, and debugging LLM applications with built-in intelligence and MCP support.

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.

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.

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

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