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 vector database and search engine built in Rust for production-grade AI applications — from semantic search to RAG pipelines and recommendation systems.

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.

Open-source, embedded vector database built on the Lance columnar format for fast multimodal search across billions of vectors, backed by Y Combinator (W23).

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.

OpenAI's open-source CLI coding agent that reads, edits, and runs code in your terminal using natural language prompts.

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 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.

Embedded KV store built on object storage with zero replication cost

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

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

Stateful actors as a primitive for AI agents, real-time collaboration, and durable execution — with in-memory state, WebSockets, queues, and scheduling built in.

A graph-vector database built from scratch in Rust that unifies graph traversal, vector search, key-value, and relational storage into a single platform for AI applications.

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.