Rabel

About

RABEL (Recidive Active Brain Environment Layer) empowers AI agents with a robust, local-first memory system, enabling them to retain information, perform semantic searches, and understand complex relationships through a knowledge graph. Designed as part of the HumoticaOS ecosystem, it ensures data privacy by operating entirely on local machines, eliminating the need for cloud services or API keys. This tool allows AIs to recall past interactions, facts, and experiences, offering "soft pipeline" guidance for task execution, all while supporting graceful degradation based on installed dependencies.

Key Features

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• Local-first persistent memory for AI agents
• Semantic search through stored memories and facts
• Soft pipelines offering task guidance and next-step suggestions (bilingual EN/NL)
• 100% local operation with zero cloud dependencies or API keys
• Knowledge graph for defining and querying relationships between entities

Use Cases

• Guiding AI workflows and decision-making processes with flexible, suggested pipelines
• Providing AI agents with long-term memory for personalized and contextual interactions
• Building a private, local knowledge base for AI assistants without data leaving the machine