# "I built a portable memory layer for AI agents so you don't have to"

> Source: <https://dev.to/gamingboy/i-built-a-portable-memory-layer-for-ai-agents-so-you-dont-have-to-3n8l>
> Published: 2026-08-14 23:08:17+00:00

markdown

#
I built a portable memory layer for AI agents so you don't have to

AI agents are everywhere now. But they still struggle with one thing: **memory**.

Most agent frameworks store memory in a vector database, but that's not enough. A vector DB just stores embeddings; it doesn't understand memory types, consolidation, forgetting, or portability.

So I built **Mneme** — a portable memory layer for AI agents.

##
What does Mneme do?

-
**Structured memory**: episodic (what happened), semantic (facts/preferences), procedural (how to behave).
-
**Semantic recall**: find relevant memories using local embeddings (FastEmbed).
-
**Consolidation**: deduplicate and summarise memories over time.
-
**Forgetting**: delete memories with full audit trail.
-
**Portability**: export/import your agent's entire memory to a `.mneme`

file.
-
**Access control**: multi‑agent scoping with explicit shared memory grants.
-
**Local‑first**: SQLite backend, zero‑config.

##
Installation