
Membase
Actively maintained
not read yet
Use
- For
- Individuals who want persistent memory across chatbots, and developers building agents that need lasting memory.
- Activity
- Actively maintainedrelease today · site updated yesterday
- Used for
- save browser conversations and web pages for reuse in chatbots
- let agents save findings and retrieve prior knowledge
- review, correct, and remove outdated memory entries
- On the web since 2024, older than 62% of its shelfINITE Atlas
- Publishes llms.txt, a file written for AI assistantsmembase.ai ↗
Figure and bar: visits/mo, estimate · year: online since
- #1

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An MCP server that gives connected AI agents one shared inbox, task list, calendar, notes and feeds to read and write.
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EngramMCP · sign-in
Stores full verbatim agent conversations and tool calls with secret redaction, then serves semantic search over them via MCP.
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debate.tellodb
Stores and retrieves user facts from conversations, filtering outdated information and tracking temporal truth changes.
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Dhanur AI
Builds AI agents that answer customer questions from uploaded policies and qualify sales leads across website chat, email and connected apps.
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iotabot.com
Embeds an AI chatbot trained on your content that answers support questions, performs API actions, and escalates to humans.
2ActiveFree plan
Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use Membase for?
Sign in to leave a noteWhat is Membase?
Builds one long-term memory from saved conversations, web pages, files and apps, and lets connected AI tools read it. It is listed in the Atlas under Support.
Who is Membase for?
Individuals who want persistent memory across chatbots, and developers building agents that need lasting memory.
Do people use Membase?
Little sign of use.
Is Membase still maintained?
Actively maintained: release today · site updated yesterday.
What are alternatives to Membase?
In Support, by use: Chatbase, crosswalk, Engram, debate.tellodb, Dhanur AI, iotabot.com.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.
How we read every tool → · By INITE Atlas Desk
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