Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
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592,717 tools. Updated 2026-09-20 15:50
"Understanding Memory and Related Concepts" matching MCP tools:
- Discover semantically related concepts using ConceptNet's similarity algorithms to expand exploration, find related terms, and understand semantic neighborhoods.GPL 3.0
- Save concepts and their definitions into semantic memory for targeted retrieval. Include related concepts and source details to enrich knowledge graphs.AGPL 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
- Get an authoritative explanation of a design principle or GoF pattern: intent, when to use it, trade-offs, participants, and related concepts.MIT
- Look up a concept to find all variants, related concepts, naming conventions, function signatures, and file locations. Resolves questions like 'what is X', 'what does X mean', or 'where is X used'.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceA minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.51MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).1MIT
Matching MCP Connectors
Cloudflare Workers MCP server: agent-memory
Persistent semantic memory storage, associative recall, and recent memory index by namespace.
- Create typed relationships between memories to build a knowledge graph connecting related concepts.MIT
- Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.MIT
- 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
- Answer a course question using course context and memory. Identify relevant concepts, infer confusion, and update mastery records.MIT
- Aggregate ranked code retrieval, structure-backed related files, subsystem summaries, and relevant hubs into a bounded report for broad subsystem understanding when exact lookup is insufficient.MIT
- Find related concepts connected by any relationship type using graph traversal. Explore up to max hops from a starting concept ID to discover conceptually linked entities.MIT
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- Retrieve all memories linked via [[wikilinks]] from or to a specified memory. Returns related memory names.MIT
- Explore memory connections to build reasoning paths between memories, retrieve related concepts, or identify bridging memories between two nodes.AGPL 3.0
- Traverse knowledge graphs from seed nodes to discover related concepts and relationships for depth-first exploration and structured insight generation.-
- Traverse related concepts in a SKOS vocabulary using breadth-first search to a specified depth. Find connections starting from a concept URI.MIT
- Search across all memory layers—content, decisions, mistakes, concepts, sessions, and commits—to find relevant information in writing projects.MIT
- Retrieve complete concept details, including broader, narrower, and related concepts, from a SKOS vocabulary.MIT
- Compare and contrast two concepts to uncover key similarities and differences.MIT