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674,972 tools. Updated 2026-10-19 01:21

"Understanding Temporal Memory in Neuroscience and AI" matching MCP tools:

  • Reinforce a memory by updating its last access time and use count, resetting temporal decay and increasing resistance to forgetting.
    MIT
  • List Oracle Cloud Infrastructure AI/ML services including Generative AI, Vision, Speech, Language, and Document Understanding. Filter by service type or model.
    Apache 2.0
  • Filter and retrieve recent academic papers from bioRxiv by category name such as bioinformatics or neuroscience. Returns paper metadata within a configurable limit.
    MIT
  • Reinforce memories by updating access time and use count to reset temporal decay and increase resistance to forgetting. Optionally boost memory strength to maintain retention.
    AGPL 3.0
  • Get the point-in-time history and version timeline for any memory, including bi-temporal dates and superseded versions.
    PolyForm Noncommercial 1.0.0

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  • Wall-clock awareness for LLM agents. Two tools: elapsed-time-between-turns + day rollover detection.

  • Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).

  • Updates outdated memory nodes by replacing content, closing old edges, and adding a supersede link to preserve temporal integrity.
    MIT
  • Store new information in short-term memory with temporal decay, where frequently accessed content gets promoted to long-term storage automatically.
    AGPL 3.0
  • Create episodic memory events with emotional valence, temporal context, and entity involvement, automatically generating embeddings for semantic retrieval.
    MIT
  • Analyze a search query to extract entities, temporal references, question type, and complexity. Use this to understand query structure before searching, enabling more targeted knowledge graph retrieval.
    MIT
  • Get year-by-year occurrence counts for a species, country, dataset, or record type to analyze temporal trends and visualize data coverage over time.
    MIT
  • Retrieve occurrence counts grouped by year to analyze temporal trends, chart time series, spot collection gaps, and assess data coverage for any taxon, country, or dataset.
    MIT
  • Search the web with AI-driven intent understanding and relevance ranking. Apply custom guidance to filter and rank results for precise information retrieval.
    MIT
  • Store durable facts in bi-temporal memory with automatic entity resolution and superseding of outdated beliefs.
    MIT
  • Replay a past decision's context against current understanding to expose previously unknown factors, helping avoid repeated mistakes and make informed decisions.
    MIT
  • Search bioRxiv preprints by biology category (e.g., neuroscience, cell biology) to find research before peer review. Returns recent preprints with DOIs for download or reading.
    -
  • Ask questions about your entire video and memory library. Combines video understanding with text memories to provide comprehensive answers.
    -
  • Checks memory invariants: append-only integrity, bi-temporal ordering, canon presence, supersede pointers. Optionally runs devil's advocate on failures, producing EU AI Act Article-12 records.
    Apache 2.0