# memcode-in/memcode

<https://repo.masters-masters.com/en/repos/memcode-in/memcode>

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

memcode-in/memcode has 595 stars on GitHub. Its RepoMasters card: Alpha tier. Memcode: \#1 Memory Layer for AI agents, Building Memory infra for every use case

| Field | Value |
| --- | --- |
| Owner | [memcode-in](https://repo.masters-masters.com/en/owners/memcode-in) |
| Stars | 595 |
| Forks | 1 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [memcode-in/memcode](https://github.com/memcode-in/memcode) |

## Repository

Memcode: \#1 Memory Layer for AI agents, Building Memory infra for every use case

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.