# divagr18/memlayer

<https://repo.masters-masters.com/en/repos/divagr18/memlayer>

[Home](https://repo.masters-masters.com/en) › [divagr18](https://repo.masters-masters.com/en/owners/divagr18) › [memlayer](https://repo.masters-masters.com/en/repos/divagr18/memlayer)

divagr18/memlayer has 306 stars on GitHub. Its RepoMasters card: Alpha tier. Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent…

| Field | Value |
| --- | --- |
| Owner | [divagr18](https://repo.masters-masters.com/en/owners/divagr18) |
| Stars | 306 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | agent, ai, ai-infrastructure, context-management, developer-tools, embedded, graph-database, knowledge-graph, llm, llm-memory |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [divagr18/memlayer](https://github.com/divagr18/memlayer) |

## Repository

Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.