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AI agents forget everything between sessions. Context windows overflow. Users explain themselves again and again. plyra-memory fixes that. It gives your agent a persistent, three-layer cognitive memory — working, episodic, and semantic — with a hybrid retrieval engine that fuses results across all three, ranked by similarity, recency, and importance.
Plyra Memory Architecture

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Three memory layers

Working

Current session scratchpad. Fast writes, in-memory. Flushed to episodic at session end.

Episodic

Event timeline with full conversation and action history. Vector search across all past sessions.

Semantic

Structured knowledge graph — subject, predicate, object. Facts that survive restarts and are never duplicated.

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Local-first. Server-optional.

By default, plyra-memory runs entirely on your machine — SQLite for structured data, ChromaDB for vectors. No external services, no API keys. When you need multi-agent memory sharing or multi-tenant isolation, point PLYRA_SERVER_URL at a plyra-memory-server instance. Zero code changes — the library detects the env var and routes automatically.

Quickstart

Remember your first fact in 60 seconds.

Memory layers

Deep dive into working, episodic, and semantic storage.