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Build graph-based memory and semantic search for LLM applications.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Indhar01/memograph" MCP server from askskill: Run: claude mcp add 'io-github-indhar01-memograph' -- uvx memograph
Use memograph to turn this conversation’s preferences, project context, and key facts into searchable graph memory, and explain how to reuse it later.
Structured memory nodes, relationships, and a searchable summary.
Search the memory graph for facts related to "the release plan mentioned last time" and return the most relevant nodes, relations, and confidence.
Relevant memories, linking paths, and a retrieval summary.
Extract entities, relations, and topic tags from this meeting note, then merge them into the existing memory graph without duplicates.
New or merged entities and relations with updated index.
Provides local persistent memory for coding agents with low-cost context retrieval.
Provide persistent graph memory, semantic search, and traversal for AI agents.
Build a self-evolving memory graph for coding agents with semantic search.
Provides persistent graph memory for LLMs with auto-linking and layered recall.
Build a semantic graph from project files for search, knowledge, and task management.
Provide local-first memory graph and hybrid search for Claude Code and MCP clients.