All Open Source Apps

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

Define, schedule, and monitor complex data workflows as Python code — with a powerful UI, 80+ provider integrations, and battle-tested scalability across thousands of production deployments.

Topic-based team chat that brings the structure of email threads to real-time messaging, so distributed teams never lose context across hundreds of concurrent conversations.

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.

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

Open-source self-hosted PaaS — deploy apps, databases and 280+ services on your own servers with no vendor lock-in

Open-source GenBI engine that lets AI agents turn natural-language questions into governed SQL, charts, and shareable dashboards across 20+ data sources — no vendor lock-in, no black-box prompts.

A reactive Python notebook that eliminates hidden state, runs reproducibly, and deploys as a web app or script — stored as pure Python, built for the AI era.

Open source payments infrastructure that turns software into a business — subscriptions, usage-based billing, digital products, and merchant-of-record compliance in one platform.

The pioneering open-source autonomous AI agent that conducts deep, multi-source research and produces citation-backed reports exceeding 2,000 words — faster and more reliably than any human researcher.

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

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

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.

Secure, fast, and extensible sandbox runtime for AI agents with multi-language SDKs and Docker/Kubernetes runtimes.

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.

A pretrained decoder-only foundation model by Google Research that delivers zero-shot time series forecasting with calibrated quantile prediction intervals — no training required.

An open-source runtime control plane for AI agents — define safety guardrails once, apply them across agents built on LangChain, CrewAI, Google ADK, or AWS Strands, and update controls without redeploying code.

An open-source CLI that compiles raw documents into a structured, interlinked wiki-style knowledge base using LLMs — powered by vectorless, reasoning-based retrieval (PageIndex) instead of a vector database.

Federated AI search and RAG across 100+ enterprise sources—no data extraction, no vector database required.