kgai.dev
Graphiti
cognee
Kodingo
Memori
Mem0
Think Python
Google's Python Class
The New Boston video series
A Byte of Python
Hackr.io
Learn Python The Hard Way
Corey Schafer Youtube
Udacity - CS101
kgai is an open-source Claude Code plugin: a local-first, immutable knowledge graph of your team's engineering decisions. Your agent records the decisions behind the code (what changed, why, and the dead ends you ruled out), recalls the relevant ones before it edits an area, and new decisions supersede old ones so nothing is overwritten. Written in Go, MIT licensed. Team sync is opt-in over an S3 bucket you own.
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kgai.dev's answer
Go. An embedded graph database (Kuzu). An event-sourced, append-only decision log. Distributed as a Claude Code plugin (hooks, skills, and slash commands). Optional team sync over S3.
kgai.dev's answer
kgai stores engineering decisions as an immutable graph, not editable notes. When a decision is reversed, the new one supersedes the old, and the old decision stays in history together with the reason it died. Dead ends are preserved on purpose. Most memory tools overwrite or summarize, which quietly deletes exactly the context you need months later.
kgai.dev's answer
Three things competitors usually don't combine: immutability with first-class supersession (nothing is overwritten), preserved dead ends (why an approach was rejected, so the AI stops re-proposing it), and local-first design (your code and decisions never leave your machine, team sync is opt-in over storage you own). It's MIT open source, not a hosted black box.
kgai.dev's answer
Software teams building with AI coding agents, especially teams using Claude Code where the reasoning behind the code lives in people's heads and gets lost between sessions and teammates.
kgai.dev's answer
AI coding agents kept confidently re-proposing approaches the team had already tried and rejected. The decision existed, but nobody remembered why, and nothing in the repo recorded it. kgai was built so the codebase and the AI share a durable memory of the decisions behind the code, including the ones that were reversed and the dead ends.
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This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: over 3 years ago
Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago
This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
Computer Science โ For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
Graphiti - Build personalized AI agents that learn from dynamic data
Google's Python Class - Assorted educational materials provided by Google.
cognee - Memory for AI Agents
The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Kodingo - Project memory for AI-assisted development
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.
