Use Cases

Real-world patterns for deploying Mnemosyne.

Common Patterns

Pattern	Description	Complexity
Personal Assistant	Remember user preferences and history	Low
Multi-Agent Team	Shared memory across agent team	Medium
Long-Running Tasks	Maintain context across sessions	Medium
Knowledge Base	Structured domain knowledge	Medium
Decision Log	Track decisions and rationale	Low

Selection Guide


flowchart TD
  A[What do you need?] -->|Remember users| B[Personal Assistant]
  A -->|Team coordination| C[Multi-Agent]
  A -->|Long projects| D[Long-Running Tasks]
  A -->|Domain expertise| E[Knowledge Base]
  A -->|Track choices| F[Decision Log]

Success Metrics

Metric	Target	Measurement
Context relevance	>80% top-3	Manual evaluation
User satisfaction	>4.0/5.0	Survey
Task completion	>90%	Task tracking
Memory accuracy	>95%	Fact checking

Getting Started with Use Cases

Each use case section includes:

Architecture diagram
Configuration example
Code samples
Deployment notes
Monitoring setup

Contributing

Have a unique use case? Submit it via GitHub issue or PR. The community benefits from diverse real-world examples.

Multi-Agent Systems

Build multi-agent systems with Mnemosyne: shared memory pools, agent-specific namespaces, cross-agen...

Long-Running Agents

Enable long-running AI agents with Mnemosyne: session persistence, context recovery, memory consolid...

Knowledge Base

Build AI-powered knowledge bases with Mnemosyne: document ingestion, semantic indexing, graph relati...