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

iA Writer
Typora
ButterDocs
Tip Tap
Craft Docs
HackMD
Uselink
Your streamlined Google Docs alternative
Which is more popular?
Based on our record, Stashpad Docs seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | chainmemory.ai | docs.stashpad.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 Stashpad Docs yet.
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
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using ChainMemory and Stashpad Docs. 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.
This looks a lot like Stashpad Docs that came out today, too! https://docs.stashpad.com/. - Source: Hacker News / over 2 years ago
When comparing ChainMemory and Stashpad Docs, you can also consider the following products.

Your private, local memory layer for all AI tools
Compare Mem0 to ChainMemory or Stashpad Docs:


Persistent memory from agent trace, not just conversation
Compare Memori to ChainMemory or Stashpad Docs:


Persistent memory for Claude Code, Codex & coding agents
Compare Agentmemory to ChainMemory or Stashpad Docs:
