All Open Source Apps

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

AI-Native Distributed SQL Database for Agentic Workloads

Open-source alerting engine that connects to any time-series or log data source and routes alarms to 20+ notification channels with AI-assisted triage.

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

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.

Open-source metadata platform that unifies data catalog, lineage, quality, and governance into a single searchable graph, with an MCP server that gives AI agents governed access to that context.

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

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

The complete open-source observability platform that replaces PagerDuty, Datadog, Sentry, and StatusPage with a single self-hostable system.

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.

eBPF-powered observability with AI root cause analysis — zero code changes required, full-stack visibility out of the box.

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.

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

An open-source CLI that packages machine learning models into standard, production-ready Docker containers — no Dockerfile wrangling, no CUDA version hell.

Replace Google Analytics, UptimeKuma, and Prometheus with one self-hosted platform that tracks websites, monitors uptime, and reports server health.

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.

Give your AI coding agents persistent memory — claude-mem captures everything that happens during sessions, compresses it with AI, and surfaces the right context in every future session automatically.

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.

Open-source observability platform purpose-built for AI agents — trace, evaluate, debug, and monitor at scale with SQL access and real-time replay.