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

Axolo
PullNotifier
Pullflow
GitHub & GitLab PR/MR notifications in Slack - one updating card per request, threaded comments, @mention mapping. Free for small teams. Setup in 5 minutes.

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 | mergeme.dev |
| Pricing | — | |
| Company | — | Startup from the United Kingdom · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Supermemory yet.
MergeMe sends GitHub pull request and GitLab merge request notifications to Slack for code review. Each PR or MR gets one Slack card that updates in place when status changes (opened, in review, approved, merged, and more) instead of posting a new Slack message for every event like the official...
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
No analysis of MergeMe.dev yet.
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Supermemory and MergeMe.dev.
MergeMe.dev's answer:
MergeMe.dev's answer:
MergeMe.dev's answer:
MergeMe.dev's answer:
Engineering teams and engineering managers who use Slack for day-to-day communication and GitHub or GitLab for code review, especially when:
MergeMe.dev's answer:
MergeMe started from a practical problem: teams loved Slack for collaboration but hated how official GitHub and GitLab Slack integrations treated every MR/PR event as a separate message. Channels became noisy, threads broke apart, and it was hard to see what actually needed review.
The idea was simple - treat each pull request or merge request as one living Slack card that updates as review state changes, with comments as thread replies. From there it grew into routing, mention mapping, multi-git workspaces, and self-hosted GitLab support for teams that cannot or do not want to rely on the default apps.
Share your experience with using Supermemory and MergeMe.dev. 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 / 3 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 / 4 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 / 5 months ago
Tracking MergeMe.dev since Aug 2026.
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