Tag: knowledge-graph
GitNexus Knowledge Graph Reference and Guide
This skill provides a comprehensive reference for the GitNexus ecosystem, detailing available MCP tools, core skills, and the underlying knowledge graph schema. It serves as the primary documentation resource for understanding code intellig…
GitNexus CLI for Codebase Indexing and Documentation
This CLI tool manages the creation and maintenance of a codebase knowledge graph. It allows developers to index repositories, check index freshness, and generate comprehensive documentation using an integrated LLM.
Memory Consolidation and Cleanup Protocol
This skill reviews and improves the quality of stored memories by consolidating facts, deleting stale or sensitive data, and rewriting vague entries. It ensures the memory store remains clean, accurate, and adheres to defined quality standa…
Academic literature research orchestrator skill
This skill automates complex academic literature reviews by intelligently routing queries across multiple free databases (e.g., arXiv, Semantic Scholar, OpenAlex). It implements a free-first escalation matrix, only utilizing paid services w…
Expert Memory Architecture Planning and Design
This skill acts as an expert memory architect, analysing an application's context to determine optimal memory integration points. It generates a detailed, actionable implementation plan covering bank configuration, tag schema, and necessary…
7-Layer Recursive Agent Memory Service
This service provides a robust, 7-layer recursive memory architecture for agents, supporting context branching and structured knowledge storage. It features a 5-pass compiler and ensures permanent, encrypted persistence via on-chain storage…
Cognee: Graph-Based Memory for Agents
Cognee is a Python framework for building and managing persistent, graph-based memory for autonomous agents. It enables structured and unstructured data ingestion into knowledge graphs to support advanced retrieval-augmented generation and …
Semantic Codebase Search and Understanding Tool
This tool provides intelligent retrieval across codebases and documentation using hybrid search. It leverages code embeddings and a knowledge graph to enable semantic searching and pattern matching, aiding in codebase understanding and comp…
Persistent Memory and Knowledge Graph for Agents
This system provides persistent, structured memory for agents, allowing them to store, recall, and connect context across sessions. It utilizes a hybrid search mechanism combining vector, BM25, and graph traversal for robust knowledge compo…
Persistent memory for AI coding agents
This tool provides persistent, queryable memory for AI agents, allowing them to store critical decisions, user preferences, and lessons learned. It uses a hybrid retrieval architecture (vector similarity and full-text search) to ensure agen…
Systematic Knowledge Base Audit and Cleanup
This skill systematically reviews stored memories to maintain knowledge base integrity by identifying and resolving duplicates, contradictions, and stale entries. It supports advanced knowledge graph hygiene, including detecting orphaned ed…
Interactive Testing for Memory MCP
A guided testing suite designed to verify the full range of features within the Memory MCP implementation, including knowledge graphs, hot cache mechanics, and contradiction detection.
persistent memory management for ai agents
This two-tier memory system provides persistent context for AI agents, featuring a zero-latency hot cache for frequently accessed data and semantic search for cold storage. Developers can store, recall, link, and manage memories across sess…
Extract structured data from meeting transcripts
This skill ingests various meeting transcript formats (e.g., VTT, SRT, TXT) and uses advanced NLP to extract structured entities such as decisions, action items, attendees, and commitments. It stores these findings into persistent memory, e…
Persistent codebase context inventory and knowledge base
This skill inventories a codebase by extracting structured entities—such as architectural decisions, dependencies, and team context—and storing them persistently in Neotoma memory. It ensures agents maintain deep, cross-session understandin…
Structured querying of stored memory and relationships
This skill provides comprehensive access to a structured memory store, enabling targeted retrieval of entities, relationships, and historical timeline events. Developers can query by identifier, filter by type or date range, or traverse the…
Store Chat Conversations to Neotoma Knowledge Graph
This skill reviews the current chat transcript, generating a structured preview of all data to be persisted in Neotoma. It ensures canonical storage by creating dual agent_message records per turn (user and assistant) and requires explicit …
Comprehensive Ontology Engineering and Graph Management
This comprehensive tool suite facilitates the entire ontology lifecycle, allowing developers to generate, validate, and govern RDF/OWL knowledge graphs. It supports advanced data ingestion from structured sources (SQL, CSV, JSON) and provid…
Navigate and understand complex codebases
This skill leverages the GitNexus knowledge graph to provide deep insights into unfamiliar codebases. Developers can trace execution flows, understand symbol dependencies, and map functional areas using structured queries.
Interactive unified neural graph visualization
Launches a browser-based, interactive force-directed graph combining methodology profiles, memories, and knowledge graph connections. This visualization provides a comprehensive, color-coded overview of the entire cognitive memory system.
Autonomous Cortex Memory System Bootstrap Tool
This tool autonomously bootstraps the Cortex memory system, verifying infrastructure, building cognitive profiles, seeding the codebase, and importing historical memories. It executes a multi-phase setup, ensuring full system consolidation …
Persistent memory for knowledge and context storage
This skill allows the agent to persist critical context, such as architectural decisions, bug fixes, or discovered patterns, into a structured memory system. It employs a predictive coding gate to automatically filter noise, ensuring only g…
Advanced Context Retrieval from Persistent Memory
This skill provides advanced context retrieval from persistent memory using a 6-signal WRRF engine. It supports multi-modal queries (semantic, temporal, causal) and graph traversal for tracing historical decisions and patterns.
Navigate knowledge graphs and relationships
This skill provides systematic traversal of the internal knowledge graph, enabling the tracing of causal chains, exploring entity relationships, and identifying implicit connections via co-access patterns. It is ideal for understanding comp…