Brain Tools
Gives AI models persistent memory using an Elasticsearch-backed knowledge graph.
About
Brain Tools provides AI models with persistent memory beyond the constraints of context windows by leveraging an Elasticsearch-backed knowledge graph. Designed for Model Context Protocol (MCP), it allows LLMs to retain crucial information, resulting in more coherent, personalized, and effective AI conversations. By creating a structured, searchable memory store, the tool enables AI to build meaningful, long-term relationships with users and maintain coherence across interactions over extended periods.
Key Features
- Contextual recall for prioritized information retrieval
- 6 GitHub stars
- Memory Zones for organizing information
- Persistent memory across multiple sessions
- Smart search with powerful Elasticsearch queries
- Relational understanding mimicking human associative memory
Use Cases
- Building AI assistants that remember user preferences and history
- Creating AI agents capable of long-term planning and decision-making
- Maintaining context across long AI conversations
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