Open Source Automation Apps

The all-in-one AI platform for private document chat, no-code agents, and local LLMs with zero setup friction.

Open source, self-hostable webhook infrastructure that handles delivery, retries, HMAC signing, and multi-tenant event management so you never have to build a webhooks system from scratch.

Turn scripts into webhooks, workflows, and auto-generated UIs — the fastest self-hostable workflow engine, 13x faster than Airflow.

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.

Skyvern (YC S2023) automates browser-based workflows by pairing LLMs with computer vision, letting agents click, fill, and extract data on sites they've never seen, without brittle XPath selectors that break on every layout change.

Open-source agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.

Run headless Chrome, Firefox, and WebKit as a managed Docker service — drop-in Puppeteer and Playwright support with no infrastructure overhead.

A Postgres-backed orchestration engine for background tasks, AI agents, and durable workflows that replaces Redis queues and multi-datastore durable execution platforms with a single self-hostable service.

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

OpenWork is a free, open-source desktop app for running AI agent workflows on your own files with 50+ LLMs, extensible skills, and MCP server support — the open-source alternative to Claude Cowork and Codex.

Open-source GRC platform for engineering and security teams.

Unified open-source platform for AI agent orchestration and workflow automation with 180+ connectors, MCP support, and durable execution.

The open-source control plane that turns a pile of AI agents into an actual company — with org charts, budgets, heartbeats, and governance.

Run AI workloads at scale with a Pythonic serverless runtime that handles GPU inference, background jobs, and sandboxes with zero infrastructure overhead.