
Mem0
Memori
Agentmemory
Supermemory
Tempreon
cognee
TheSecondBrain.dev
Portable, verifiable memory for AI agents — works across ChatGPT, Claude, Gemini and any MCP client

GitMerch
Commit Print
GitHub Contributions
Gource
Git Skyline
Github Feel Good
GitHub City
View and print a 3D model of your GitHub contribution graph
Which is more popular?
Based on our record, GitHub Skyline seems to be more popular. It has been mentioned 19 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | chainmemory.ai | skyline.github.com |
| Pricing | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


ChainMemory gives your AI agents persistent memory that belongs to YOU — not to a single vendor. Save a memory in ChatGPT, recall it in Claude or Gemini. Available via Chrome extension, MCP server (npm), or REST API. Every memory gets a cryptographic fingerprint and project states are anchored...
No description of GitHub Skyline yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of GitHub Skyline yet.
Walkthroughs and reviews on video.
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GitHub Skyline 2020
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using ChainMemory and GitHub Skyline. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking ChainMemory since Jul 2026.
- https://skyline.github.com : it is dead, like as Atom . - Source: Hacker News / over 2 years ago
GitHub Skyline provides a sci-fi-ish, synthwave-y visualization of your contributions for a given year that's viewable in your browser, in real life, or in virtual reality. - Source: dev.to / almost 4 years ago
What about this? https://skyline.github.com/. Source: almost 4 years ago
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Persistent memory for Claude Code, Codex & coding agents
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All your GitHub contributions in one image
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