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185,661 tools. Last updated 2026-06-09 18:37

"Understanding Memory and Related Concepts" matching MCP tools:

  • Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
    Apache 2.0
  • Discover semantically related concepts using ConceptNet's similarity algorithms to expand exploration, find related terms, and understand semantic neighborhoods.
    GPL 3.0
  • Retrieve comprehensive details about a function or class: signature, parameters, callers, callees, and related domain concepts – without reading its source file. Ideal for understanding what a symbol does and its role in the codebase.
    MIT
  • Audit a memory node by inspecting its evidence, validity window, and connected context. Returns the node, evidence records, related nodes, and edges for understanding why a memory exists or how it changed.
    Apache 2.0
  • BFS walk from a memory node to map related concepts, supersession chains, or decision clusters. Returns neighbor nodes with typed edges. Read-only; use after searching memories to explore connections.
    MIT
  • Add multiple memory nodes with automatic similarity linking. Computes embeddings and creates connections between related concepts, files, or notes for semantic intelligence.
    MIT

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  • Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.

  • Cloudflare Workers MCP server: agent-memory

  • Traverse knowledge graphs from seed nodes to discover related concepts and relationships for depth-first exploration and structured insight generation.
    Unlicense - libtelnet variant
  • Traverse the knowledge graph from a starting memory to discover related concepts. Specify depth and relationship types to find connections.
    AGPL 3.0
  • Search Redis documentation and knowledge base to find information on concepts, data structures, features, and use cases including caching, session management, and semantic search.
    MIT
  • Process AntV-related queries by identifying, parsing, and structuring user requirements for visualization tasks. Extracts topics, detects intent, and prepares structured data for precise solutions.
    MIT
  • Analyzes Apple API relationships to reveal inheritance, protocol conformances, and recommended alternatives for understanding how APIs work together.
    MIT
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Find OMOP concept IDs for medical terms by searching across OHDSI standardized vocabularies. Returns matching concepts with IDs, names, vocabulary, domain, and standard status.
    MIT
  • Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.
    MIT