All Open Source Apps

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

The open-source hub for building and deploying LLM-powered AI agents with TypeScript-first tooling, 40+ integrations, and a revolutionary code-execution agent framework.

Build sophisticated chatbots visually, embed them anywhere without iframes, and own your data — fully self-hostable with a modular block system and 30+ integrations.

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

Build, debug, and deploy knowledge-based AI agents with a visual workflow editor, RAG retrieval, and support for any OpenAI-compatible LLM.

Label Studio is an open-source, multi-type data labeling platform that lets teams annotate images, text, audio, video, and time series data with a configurable XML-based UI and export annotations in formats ready for any ML framework.

The most powerful node-based AI workflow engine for creating images, video, 3D models, and audio with full control over every generation step.

Visual LLM workflow platform with RAG pipelines, agent capabilities, and model management for building production AI applications.

Open source AI engineering platform for LLM observability, prompt management, evaluation, and debugging — self-host in minutes or use Langfuse Cloud.

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 open source operating system and SDK that lets developers build one app and run it across smart glasses from Even Realities, Vuzix, Mentra Live, and more.

The open-source LLMOps platform unifying prompt engineering, evaluation, and observability for teams building reliable LLM applications.

The self-hosted developer control center for running AI coding agents — locally, in Docker, on VMs, or across cloud backends — with automation workflows for GitHub, Slack, and more.

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

An open-source CLI and library for evaluating and red-teaming LLM applications — replace trial-and-error prompt engineering with systematic evals, vulnerability scanning, and CI/CD integration.

Build and deploy fully-managed AI agents and background jobs in TypeScript — with no timeouts, durable retries, real-time observability, and elastic scaling built in.

Turn any website into clean, LLM-ready data with a single API call — no proxy headaches, no scraping complexity.

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.

Build AI-powered apps locally with your own keys, your own models, and zero cloud lock-in.

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

The state-of-the-art memory and context engine for AI agents — ranked #1 on all three major AI memory benchmarks.

Drag-and-drop visual builder for AI agents, RAG pipelines, and multi-agent systems—deploy anywhere in minutes.