Adaptive Recall - Adaptive Memory for AI Applications

Patent Pending

Adaptive Memory for AI Applications

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.

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Beyond Vector Search

Most memory APIs store embeddings and search by cosine similarity. Adaptive Recall does that and five layers more.

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

What Makes It Different

Six capabilities that no other memory API offers, working together in every query.

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.

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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.

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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.

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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.

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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.

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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.

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Start Building with Adaptive Recall

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Adaptive Recall is built and maintained by AI Apps API, the company behind a family of AI tools and custom agent systems.

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