Show HN: Adaptive Recall, persistent memory for AI assistants over MCP

# Adaptive Recall - Adaptive Memory for AI Applications Source: [https://www.adaptiverecall.com/](https://www.adaptiverecall.com/) Patent Pending 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\. [Get Started Free](https://www.adaptiverecall.com/auth.php?action=signup)  ### Standard Memory API \+Store text with vector embeddings \+Search by cosine similarity \+Filter by metadata tags \-Single retrieval strategy \-Static results, no learning \-No quality monitoring \-Memories never evolve \-No knowledge graph ### Adaptive Recall \+Four retrieval strategies running in parallel \+ACT\-R cognitive scoring from 30 years of research \+Automatic knowledge graph construction \+Memory lifecycle with confidence evolution \+Evidence\-gated parameter learning \+Self\-verification of retrieval quality \+Curiosity\-driven knowledge gap detection \+ML pipeline that trains on your usage patterns  ### Adaptive Retrieval Four search strategies run in parallel: vector similarity, temporal recency, full\-text keyword, and knowledge graph traversal\. The system learns which strategies to prioritize for each type of query\. [Learn more →](https://www.adaptiverecall.com/features/#retrieval)  ### Cognitive Scoring Results are ranked using ACT\-R activation modeling from cognitive science\. Recency, access frequency, entity connections, and validated confidence all factor into which memories surface first\. [Learn more →](https://www.adaptiverecall.com/features/#scoring)  ### Knowledge Graph Entities and relationships are extracted automatically from stored memories\. The graph becomes a retrieval pathway, finding relevant information through connections rather than just text similarity\. [Learn more →](https://www.adaptiverecall.com/features/#graph)  ### Memory Lifecycle Memories are not static rows in a database\. They progress through stages, gain or lose confidence based on corroborating evidence, and fade naturally when no longer accessed\. [Learn more →](https://www.adaptiverecall.com/features/#lifecycle)  ### Self\-Improving System The system trains ML models on your usage data, validates every parameter change against real query history, and monitors its own retrieval quality\. It gets better the more you use it\. [Learn more →](https://www.adaptiverecall.com/features/#learning)  ### Simple API Eight tools: store, recall, update, forget, graph, status, snapshot, feedback\. Works over MCP for Claude Code and other CLI tools, or plain HTTP REST for any application\. Bearer token auth, JSON in and out\. [Learn more →](https://www.adaptiverecall.com/features/#api) ## Start Building with Adaptive Recall [Sign Up Free](https://www.adaptiverecall.com/auth.php?action=signup) No credit card required\. 500 memories free\. Adaptive Recall is built and maintained by[AI Apps API](https://www.aiappsapi.com/), the company behind a family of AI tools and custom agent systems\.