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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.
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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.
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Installation
source & further reading
dev.to — original article
89 nos and not a single line of code
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