All Open Source Apps

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

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.

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.

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.

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.

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.

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

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.

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

An open-source context database that gives AI agents a unified filesystem for memory, resources, and skills with hierarchical tiered retrieval.

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.

Transform messy, unstructured documents into persistent, navigable memory that AI agents can actually use.

A self-hosted, OpenAI-compatible LLM gateway that puts one endpoint in front of 40+ providers, with virtual API keys, per-user budgets enforced before spend, and full usage tracking.

Drop your files and search them instantly — no vector DB, no indexing pipeline, just raw data queried by a self-evolving intelligence layer.

Automate SSL certificate lifecycle across any CA, 24+ DNS providers, and every major secret store — with a REST API, web dashboard, and built-in MCP server for AI-driven ops.

Docker-powered web hosting control panel that gives every user a fully isolated environment with dedicated web server, database, and networking — VPS-grade security on shared hardware.