✨Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
📝 Summary:
Memanto introduces a universal, typed semantic memory layer for AI agents that bypasses complex semantic graphs. It uses an information-theoretic search engine for fast, overhead-free retrieval. This system achieves state-of-the-art accuracy on benchmarks with a single query and no ingestion cost.
🔹 Publication Date: Published on Apr 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.22085
• PDF: https://arxiv.org/pdf/2604.22085
• Project Page: https://memanto.ai/
• Github: https://github.com/moorcheh-ai/memanto-evaluation
✨ Datasets citing this paper:
• https://huggingface.co/datasets/moorcheh/memanto-longmem-results
• https://huggingface.co/datasets/moorcheh/memanto-locomo-results
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AI #SemanticMemory #InformationRetrieval #AIAgents #MachineLearning
📝 Summary:
Memanto introduces a universal, typed semantic memory layer for AI agents that bypasses complex semantic graphs. It uses an information-theoretic search engine for fast, overhead-free retrieval. This system achieves state-of-the-art accuracy on benchmarks with a single query and no ingestion cost.
🔹 Publication Date: Published on Apr 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.22085
• PDF: https://arxiv.org/pdf/2604.22085
• Project Page: https://memanto.ai/
• Github: https://github.com/moorcheh-ai/memanto-evaluation
✨ Datasets citing this paper:
• https://huggingface.co/datasets/moorcheh/memanto-longmem-results
• https://huggingface.co/datasets/moorcheh/memanto-locomo-results
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AI #SemanticMemory #InformationRetrieval #AIAgents #MachineLearning