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React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
Data validation using Python type hints
Python tool for converting files and office documents to Markdown.
Document Chatbot — multiple files. Powered by GPT / Embedding.
Drag & drop UI to build your customized LLM flow
An AI web browsing framework focused on simplicity and extensibility.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
🦜🔗 Build context-aware reasoning applications
Agno is a lightweight library for building Agents with memory, knowledge, tools and reasoning.
Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A fast, powerful, safe and lightweight scripting language and engine for .NET
Fast job queuing and RPC in python with asyncio and redis.
DuckDB is an analytical in-process SQL database management system
Familiar asyncio ORM for python, built with relations in mind
An open source alternative to Tableau. Embeddable visual analytic
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
An extremely fast Python linter and code formatter, written in Rust.
The Prometheus monitoring system and time series database.
Twitter Clone using Python, FastAPI, Jinja and HTMX
A sandbox for using Django with HTMX and Alpine.JS
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media