Starred repositories
An agentic skills framework & software development methodology that works.
Specification and documentation for Agent Skills
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Drupal installation profile powering We The People at petitions.whitehouse.gov
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
maconprograms / Flowise
Forked from FlowiseAI/FlowiseDrag & drop UI to build your customized LLM flow
maconprograms / mathesar
Forked from mathesar-foundation/mathesarAn intuitive spreadsheet-like interface that lets users of all technical skill levels view, edit, query, and collaborate on Postgres data directly—100% open source and self hosted, with native Post…
maconprograms / cobalt
Forked from imputnet/cobaltbest way to save what you love
maconprograms / WrenAI
Forked from Canner/WrenAI🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. 📈📊📋🧑💻
maconprograms / marker
Forked from datalab-to/markerConvert PDF to markdown + JSON quickly with high accuracy
maconprograms / tooljet
Forked from ToolJet/ToolJetLow-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop applicati…
Deploy your own Notion-powered website in minutes with Next.js and Vercel.
Using shadcn-ui components in streamlit
Get your documents ready for gen AI
FastAPI Dependency to decode nextauth generated JWTs, for use in projects that mix nextjs/nextauth and fastapi.
An open-source, self-hostable PaaS alternative to Vercel, Heroku & Netlify that lets you easily deploy static sites, databases, full-stack applications and 280+ one-click services on your own servers.
Code samples from our Python agents tutorial
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?