Show HN: Adaptive Recall, persistent memory for AI assistants over MCP
Adaptive Recall is a new memory API for AI assistants that uses cognitive science and multi-strategy retrieval to improve information recall. It integrates with CLI tools via MCP and offers features like temporal recency, knowledge graph traversal, and automated entity extraction.
Why it matters
It addresses the 'context window' limitation of current LLMs by providing a persistent, evolving memory layer that mimics human cognitive processes.
Store, recall, and forget with a memory system that learns from every interaction. Retrieval quality improves automatically over time, powered by cognitive science and machine learning.
The content is a technical product announcement from a developer, focusing on features and utility without political or social commentary.
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