PythonHub

Backon – Python retry (zero deps, circuit breaker, async native) https://github.com/Llucs/backon

microsoft / skills-for-fabric A collection of skills and MCP systems to enable users of CLI, VSCode, Claude to operate over Microsoft Fabric https://github.com/microsoft/skills-for-fabric

A small matrix task runner for Python projects using Astral uv. uv-matrix runs the same project tasks across Python versions, dependency variants, extras and arbitrary task variants defined in pyproject.toml. https://github.com/atsuoishimoto/uv-matrix

Scripting good practices in Python SummaryYou can make your scripts just a little nicer with some tweaks:Use inline dependencies if ... https://www.bitecode.dev/p/scripting-good-practices-in-python

Python 3.14 compiled to metal – no interpreter https://github.com/can1357/pon

Have your agent record video demos of its work with shot-scraper video shot-scraper video is a new command introduced in today's shot-scraper 1.10 release which ... https://simonwillison.net/2026/Jun/30/shot-scraper-video/#atom-tag

OpenKB Open LLM Knowledge Base. https://github.com/VectifyAI/OpenKB

Python Hub Weekly Digest for 2026-07-05 https://pythonhub.dev/digest/2026-07-05/

Building AI Agents You Can Trust & Evaluate | Agentic RAG Live Series Hands-on live series building Agentic RAG systems with retrieval, tool calling, evaluations, traces, and production engineering practices. 140 min marathon https://youtube.com/live/_44x_yL7Q-s?feature=share

Unlimited-OCR Unlimited-OCR is Baidu’s open-source OCR model for one-shot long-horizon document parsing, designed to read multi-page documents in a single pass instead of chunking them. https://github.com/baidu/Unlimited-OCR

Build real agentic apps using CUGA: two dozen working examples on a lightweight harness Building an agent is mostly plumbing: tools, state, guardrails, scaling from one agent to many. CUGA (pip install cuga), short for Configurable Generalist Agent, the Agent Harness for the Enterprise from IBM handles that, so you write just a tool list and a prompt. We built two-dozen single-file apps to prove it. Read one end to end here, then see how the same agent runs sovereign and go... https://huggingface.co/blog/ibm-research/cuga-apps

Build and Deploy a Remote MCP Server to GKE in 30 Minutes Learn to build and deploy a secure remote MCP server on Google Kubernetes Engine (GKE) in 30 minutes. Streamline your AgenticAI workflows with standard protocols. https://cloud.google.com/blog/topics/developers-practitioners/build-and-deploy-a-remote-mcp-server-to-gke-in-30-minutes/

gzipt A compression based language model. https://github.com/nathan-barry/gzipt

Moebius Lightweight Image Inpainting Framework with 10B-Level Performance. https://github.com/hustvl/Moebius

Ruff + Ty vs Ruff + Pyrefly — which type checking stack makes more sense in 2026? https://www.reddit.com/r/Python/comments/1uf2eoz/ruff_ty_vs_ruff_pyrefly_which_type_checking_stack/

TimeCapsuleSMB Hacking the Apple Time Capsule to run modern Samba. https://github.com/jamesyc/TimeCapsuleSMB

Use AI to not use AI (as much) Rather than using AI to solve the same problem repeatedly, the author suggests using it to build tools that solve the problem for you. A practical example demonstrates how an AI-generated Python script transformed a one-time GitHub usage analysis into a reusable workflow. https://www.raymondcamden.com/2026/06/22/use-ai-to-not-use-ai-as-much

Recall Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory - entirely offline. https://github.com/raiyanyahya/recall

Data-Juicer Data processing for and with foundation models! https://github.com/datajuicer/data-juicer

TIRx: An Open Compiler Stack for Evolving Frontier ML Kernels TIRx introduces an open-source, hardware-native DSL and compiler stack for writing high-performance ML kernels that can keep pace with rapidly evolving AI hardware. Built on Apache TVM, it combines low-level control, compiler-assisted abstractions, and agent-friendly tooling to support expert developers, automated kernel generation, and future accelerator architectures. https://tvm.apache.org/2026/06/22/tirx