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Publicaciones del Canal
Basic Memory
Plain Markdown files, semantic connections, and a knowledge graph that grows with every conversation. Open source, local-first, works with any AI.
https://basicmemory.com
| 2 | Tur: Sovereign Cognition Engine for Persistent, Evolving AI Entities
An open-source state engine transforming stateless LLMs into persistent AI entities with Merkle memory and epigenetic learning.
https://github.com/erivlis/tur | 56 |
| 3 | MTPLX
Run local LLMs on Apple Silicon, around twice as fast.
https://github.com/youssofal/MTPLX | 58 |
| 4 | PyAdventure — a free Python learning game built with Pygame
Learn Python across 10 worlds, each teaching one topic, ending in a boss battle. Free, Windows.
https://khalidmfy.itch.io/pyadventure | 73 |
| 5 | OpenFlight
OpenFlight is an open-source golf launch monitor built around the OPS243-A Doppler radar, with an optional TI IWR6843 angle radar.
https://github.com/jewbetcha/openflight | 73 |
| 6 | Soup
Fine-tune and post-train LLMs in one command. No SSH, no config hell.
https://github.com/MakazhanAlpamys/Soup | 83 |
| 7 | Creating PySide6 UI without .ui / Qt Designer
Build your entire GUI in pure Python code, no .ui files required.
https://www.pythonguis.com/faq/creating-pyside2-ui-without-ui-qt-designer/ | 89 |
| 8 | The Polars vs SQL differences nobody is talking about
This post explores important differences between Polars and SQL that can cause unexpected results when moving between the two, including row ordering, column independence, literals, null handling, and broadcasting. It explains how understanding these different mental models can help developers write safer Polars code and more reliably translate data workflows between Polars and SQL.
https://labs.quansight.org/blog/polars-vs-sql-differences | 84 |
| 9 | Lians
Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checks, bind results to current Git state, and know what is ready for human review.
https://github.com/Lians-ai/Lians | 89 |
| 10 | Tencent opensource AI Red Teaming platform
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
https://github.com/tencent/AI-Infra-Guard | 90 |
| 11 | django-waffle - the best Feature Flipper for Django!
This is an introduction to django-waffle, a production-ready Django package for controlling feature rollouts through flags, switches, and sampling. It enables gradual releases, A/B testing, and quick kill switches for features that need to be disabled without redeploying
https://www.youtube.com/watch?v=K-Y9XHEZwU8 | 92 |
| 12 | Thinking in Python by Bruce Eckel
https://thinkinginpython.com/ | 96 |
| 13 | Python Hub Weekly Digest for 2026-08-23
https://pythonhub.dev/digest/2026-08-23/ | 146 |
| 14 | pyhctsa
The most comprehensive time-series feature extraction package in Python.
https://github.com/DynamicsAndNeuralSystems/pyhctsa | 182 |
| 15 | Comfy-Org / ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
https://github.com/Comfy-Org/ComfyUI | 156 |
| 16 | centaur
Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids.
https://github.com/paradigmxyz/centaur | 131 |
| 17 | jsonfold: Making Pretty-Printed JSON Compact and Readable in Python
jsonfold is a streaming post-filter that compacts pretty-printed JSON by folding small arrays and objects onto single lines while preserving existing serializers and custom encoders. It processes JSON incrementally without reparsing the document, keeping additional memory usage bounded while producing more compact, human-readable output for large JSON files.
https://medium.com/@yair.lenga/a-streaming-json-formatter-that-works-with-existing-serializers-eced220da37d | 128 |
| 18 | Prototype on a laptop, scale to 16 billion rows: one Polars query
The post shows how to prototype a data pipeline locally on 97 million Polymarket orderbook rows, then run the same LazyFrame queries on 16 billion rows using distributed execution. The pipeline pre-aggregates the raw data into small Parquet artifacts in S3 that power a responsive Plotly Dash dashboard without scanning the full dataset on each request.
https://pola.rs/posts/market-data-to-plotly-enterprise-dashboard/ | 123 |
| 19 | key-amnesia
Let your AI agent use your passwords and API keys - without ever letting it see them.
https://github.com/fujitoid/key-amnesia | 116 |
| 20 | python-game-server
A lightweight server and framework for turn-based multiplayer games.
https://github.com/feberts/python-game-server | 128 |
