Try Git: Code School
Pro Git
BitBucket
Hackr.io
Atlassian Git Tutorial
GitLab
GitHub
Learn Git Branching
Tempreon
ChainMemory
Memori
Mem0
Agentmemory
TheSecondBrain.dev
cognee
VATES.jp
Tempreon is a personal memory layer for your AI tools, connected over MCP. Your knowledge, preferences, and decisions travel across Claude, ChatGPT, Cursor, and any MCP-capable client โ captured once, available everywhere. It learns how you actually work instead of just storing what you said.
Try Git: Code School TempreonTempreon's answer:
Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you โ your context, your preferences, your judgment โ gets rebuilt from scratch inside every tool, and lost every time you move.
We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon โ like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.
The through-line is custody: the model is temporary, your memory shouldn't be.
Tempreon's answer:
Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem โ your problem is re-explaining yourself to each of them and losing everything when you switch.
The choice is really about who the memory is for. Ours is for you.
Tempreon's answer:
Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use โ Claude, ChatGPT, Cursor, anything MCP-capable.
Tempreon's answer:
Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.
If you've ever pasted the same context into Claude and ChatGPT in the same week โ you're the audience.
Tempreon's answer:
The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.
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.5 months, 5 hours per week -- Take a tutorial on Github, and start getting your code up online. It will be important for job hunting soon. Learn Git / Github -- http://try.github.io/. Source: over 4 years ago
Seems you need to learn git. Https://try.github.io/ for example. Source: over 5 years ago
Once you have a decent grasp of programming basics, I would highly recommend you run through a few quick tutorials on how to use git. It's the de facto standard and most popular version control system. These allow you to do very precise file-by-file, line-by-line tracking of changes to your project and saving progress incrementally. You can then "push" and "pull" code to/from remote hosting services like GitHub to... Source: over 5 years ago
If you need to have an overview with a practical course you can try the links: Https://learngitbranching.js.org/ Http://try.github.io/. - Source: dev.to / over 5 years ago
If you're new to Git itself, take time to become familiar with it, separate from GitHub. You can find some good learning resources here: https://try.github.io/. Source: over 5 years ago
Pro Git - The Git Book is the official tutorial about Git.
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Memori - Persistent memory from agent trace, not just conversation
Hackr.io - There are tons of online programming courses and tutorials, but it's never easy to find the best one. Try Hackr.io to find the best online courses submitted & voted by the programming community.
Mem0 - Your private, local memory layer for all AI tools