Memlayer

Memlayer

The plug-and-play memory layer for smart, contextual agents

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MemLayer: The plug-and-play memory layer for smart, contextual LLMs. MemLayer captures key information from conversations, stores it persistently, and retrieves exactly what your model needs to stay consistent and contextual. Works with any LLM. Build smarter agents in minutes, without managing your own memory system - plus an ML-based extraction module to filter and enhance what gets stored.
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Free
Launch tags:Open Source•Developer Tools•Artificial Intelligence
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Auth0
Auth0
Start building with Auth0 for AI Agents, now generally available.
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What do you think? …

Divyansh Agrawal
Maker
📌
Hey everyone! We built MemLayer because AI agents need real, persistent memory to be useful in production. Not just long context windows or embeddings slapped on top, but salience-gated, structured, recallable memory. MemLayer works with any LLM, stores facts as vector + graph, and retrieves context exactly when it matters. Excited to hear your feedback and see what you build with it.