Question 1

What is the difference between ZenBrain and Mem0?

Accepted Answer

ZenBrain is an open-source memory library with a 7-layer neuroscience-inspired architecture (Working, Short-Term, Episodic, Semantic, Procedural, Core, and Cross-Context memory). Mem0 focuses primarily on a single semantic memory store with basic CRUD operations. ZenBrain adds FSRS spaced repetition, Hebbian learning dynamics, sleep consolidation simulation, and Bayesian confidence propagation — features not found in Mem0.

Question 2

Does ZenBrain support self-hosting and on-premise deployment?

Accepted Answer

Yes. ZenBrain (@zensation/core and @zensation/algorithms) are Apache 2.0-licensed npm packages that run entirely within your own infrastructure. There is no cloud dependency. Mem0 has a managed cloud service (mem0.ai) in addition to its open-source version, but ZenBrain is designed from the ground up for full self-hosting with PostgreSQL + pgvector or SQLite backends.

Question 3

How does ZenBrain handle memory decay and forgetting?

Accepted Answer

ZenBrain implements the Ebbinghaus forgetting curve and FSRS (Free Spaced Repetition Scheduler) to model natural memory decay. Facts decay over time unless reinforced, and the system schedules reviews at optimal intervals to maintain retention. Mem0 does not implement forgetting curves or spaced repetition — memories persist until explicitly deleted.

Question 4

Can ZenBrain be used with any LLM framework?

Accepted Answer

Yes. ZenBrain's algorithm layer (@zensation/algorithms) has zero dependencies and works with any LLM provider. The core layer (@zensation/core) provides the MemoryCoordinator that orchestrates all 7 memory layers. It integrates with LangChain, LlamaIndex, or any custom agent framework. Mem0 also supports multiple LLMs but has tighter coupling to its managed API.

Question 5

What databases does ZenBrain support for vector storage?

Accepted Answer

ZenBrain ships preview adapters for PostgreSQL with pgvector (@zensation/adapter-postgres) and SQLite (@zensation/adapter-sqlite); both will be published on npm with v0.3. Mem0 supports multiple vector databases including Qdrant, Chroma, and Pinecone, giving it broader database compatibility today.

Funktion	ZenBrain	Mem0
Memory-Layer	7 (Working, Short-Term, Episodic, Semantic, Procedural, Core, Cross-Context)	1 (Flat Store)
Sleep Consolidation	✓	✗
Spaced Repetition	✓	✗
Hebbian Learning	✓	✗
Zero Dependencies	✓	✗
Apache 2.0 Lizenz	✓	Apache 2.0
Self-Hosted	✓	partial
Managed Cloud	✗	✓

Funktion	ZenBrain	Mem0
Memory-Architektur
Memory-Layer	7 Schichten	1 (Flat)
Working Memory	✓	✗
Episodisches Gedächtnis	✓	✗
Semantisches Gedächtnis	✓	~
Prozedurales Gedächtnis	✓	✗
Core Memory Blocks	✓	✗
MemoryCoordinator	✓	✗
Algorithmen
Sleep Consolidation	✓	✗
FSRS Spaced Repetition	✓	✗
Hebbian Learning (LTP/LTD)	✓	✗
Bayesian Confidence Propagation	✓	✗
Ebbinghaus Decay	✓	✗
Entity Resolution	✓	~
Confidence Intervals (95% CI)	✓	✗
Retention Curve Export	✓	✗
Entwickler-Erfahrung
Zero Dependencies	✓	✗
TypeScript-native	✓	Python
PostgreSQL Adapter	preview	✓
SQLite Adapter	preview	✗
npm Pakete	✓	pip
Cross-Context Queries	✓	✗
Dokumentation	Umfangreich	Basis

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