Tech stack
11 projects use Python.
Turn any website into clean, model-ready data
Firecrawl handles the unglamorous part of feeding the web to a language model: rendering JavaScript, following pagination, stripping navigation and cookie banners, and returning markdown or structured JSON that a model can actually use.
Build and deploy AI agents and RAG pipelines visually
Dify is where a prompt experiment becomes something a team can operate. Workflows are assembled on a canvas, datasets are indexed and versioned, and every deployment gets an API endpoint with logging and cost tracking attached.
Drag-and-drop builder for agents and RAG pipelines
Langflow turns pipeline construction into a graph you can see. Components are Python underneath, so a flow that outgrows the canvas can be exported and run as code rather than rebuilt.
One chat interface for every model you run or connect
Open WebUI is the front end that turns a local inference server into something a household or a team can actually use. It handles accounts, conversation history, document retrieval, and model switching, and speaks to both local runtimes and hosted APIs.
Let AI agents drive a real browser
Browser Use gives an agent a real browser rather than an HTTP client. It handles the translation between a model's intent and DOM actions, keeps a structured representation of the page in context, and recovers from the usual navigation failures.
Local-first smart home automation with no cloud dependency
Home Assistant runs on a box in your house and talks to devices directly rather than through their manufacturers' servers. That single design decision is why automations keep working when the internet is down, and why a discontinued cloud service does not brick your lights.
Autonomous agents that complete real engineering tasks
OpenHands runs agents that plan and execute multi-step engineering work: reading a repository, editing files, running tests, and iterating until a task is done. Each agent works inside a sandboxed runtime rather than on the host machine.
Issue tracking and planning without per-seat pricing
Plane covers the ground between a lightweight tracker and a full project suite: issues, cycles, modules, and roadmaps, with views that suit both engineers and the people asking them for dates.
A control layer for customer-facing AI agents
Parlant addresses the problem that stops most support agents from shipping: a model that is helpful ninety-five percent of the time is not safe to put in front of customers. It manages behaviour through explicit, context-matched guidelines rather than one long prompt.
No-code database and application builder you can host
Baserow is a spreadsheet-shaped database with the API and permission model of a real backend underneath. Non-technical colleagues get grid, gallery, kanban, and calendar views; engineers get a REST API and webhooks over the same data.
Error tracking that speaks the Sentry protocol
GlitchTip accepts events from the official Sentry SDKs, which means adopting it is a DSN change rather than an instrumentation project. Stack traces, breadcrumbs, releases, and issue grouping all work as expected.