Mem0
Mem
Pieces for Developers
Mengram
OpenMemory
cognee
Unabyss
ai second brain for all your saved stuff

Git
Your safety net for AI coding

Which is more popular?
Based on our record, Supermemory seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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Supermemory
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| Website | supermemory.ai | shadowgit.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Germany · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Supermemory yet.
Every change saved. Any version restorable. AI can search what changed to debug faster. Never lose work again. Cut debugging time by 80%. Save 50% on AI tokens. 100% local.
What each product offers, as listed by its team.

No features have been listed yet.
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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ShadowGit AI Integration
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How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Supermemory and ShadowGit.
ShadowGit's answer:
ShadowGit is the only tool where AI assistants can directly search your code history to debug faster while using 50% fewer tokens. Auto-captures every change without touching your main git repo. Built specifically for AI-assisted development.
ShadowGit's answer:
Electron is the primary technology being used.
ShadowGit's answer:
ShadowGit is the only tool built specifically for developers using AI. Unlike generic backup tools, your AI can actually search the history to debug faster and use 50% fewer tokens. Separate shadow repo means your main git stays clean. 100% local.
ShadowGit's answer:
AI-Accelerated solo developers that use AI coding assistants daily (Claude, Cursor, Copilot), experienced enough to feel the pain (2-10 years of coding) and that want to move fast, ship often and experiment constantly.
ShadowGit's answer:
I built ShadowGit after losing 3 hours of work to a bad AI refactor. Started as a personal backup tool, but when I added MCP integration so AI could search the history, debugging time dropped 80%. Had to share it.
Share your experience with using Supermemory and ShadowGit. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / about 2 months ago
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good... - Source: dev.to / 3 months ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come... - Source: dev.to / 4 months ago
Tracking ShadowGit since Sep 2025.
When comparing Supermemory and ShadowGit, you can also consider the following products.


Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
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Centralized code snippet manager to streamline your workflow
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AI memory API with 3 types: facts, events, and workflows
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