Elastic Memory
Provides AI models with persistent memory by leveraging an Elasticsearch-backed knowledge graph.
About
Elastic Memory enhances AI conversations by providing a persistent memory system. Built for the Model Context Protocol (MCP), it uses Elasticsearch to create a knowledge graph, allowing AI models to retain context across multiple sessions. This eliminates the need to repeat information, enabling more coherent, personalized, and effective AI interactions by building long-term relationships with users and maintaining coherence across days, weeks, or months of interactions.
Key Features
- Persistent memory across sessions
- Contextual recall for AI prioritization
- Memory zones for organizing information
- Smart search using Elasticsearch queries
- Relational understanding via connected concepts
- 5 GitHub stars
Use Cases
- Personalizing AI interactions based on past history
- Maintaining context in long-running AI conversations
- Organizing AI knowledge into separate domains
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