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.

Auto-magical MLOps platform that tracks experiments, versions data, orchestrates pipelines, and serves models with just two lines of code.

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

Event-driven orchestration platform for data, AI, and infrastructure workflows — define everything in YAML, run anywhere at scale.

The self-hosted Identity Provider that replaces Okta, Auth0, and Entra ID with a unified SSO platform supporting SAML, OAuth2/OIDC, LDAP, RADIUS, and WebAuthn.

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 feature flagging, remote config, and A/B/multivariate testing platform for web, mobile, and server-side apps — self-host or use the hosted SaaS.

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

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.

Open-source authentication platform you self-host, giving you complete control over user data with zero 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 agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.

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.

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

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

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

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

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.

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.