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Build a searchable Markdown knowledge graph for hybrid retrieval and AI workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.synpulse8-opensource/pulse8-ai-cortex-knowledge-vault" MCP server from askskill: Run: claude mcp add 'io-github-synpulse8-opensource-pulse8-ai-cortex-knowledge-vault' -- uvx pulse8-ai-cortex-knowledge-vault
Using this MCP tool, organize the Markdown files in the docs/ directory into a typed knowledge base and suggest a structure searchable by topic, owner, and component.
A knowledge base plan with entity types, relationship design, and suggested retrieval dimensions.
Find design docs, decision records, and API specs related to the 'permission system refactor' in the knowledge base, then summarize the key points by relevance.
Relevant document results plus a cross-document summary of key points and connections.
Use product requirements, technical specs, and meeting notes as a unified knowledge context so an AI agent can answer: why was this feature designed this way, which modules does it depend on, and what issues remain open?
Structured knowledge context usable by AI, with traceable answers to the questions.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.
Build persistent codebase memory for semantic search, impact analysis, and rule enforcement.
Persistent memory, code intelligence, and quality enforcement through one MCP endpoint.
Help AI agents search, understand, and operate on codebases with a content-addressed graph.
Enable AI agents to query knowledge graphs and delegate shell tasks efficiently.
Build and explore AI-enriched knowledge graphs from documents and code.