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Build a semantic graph from project files for search, knowledge, and task management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "graphmemory" yet — see the docs or source repo.
Scan this project directory, build a semantic graph, and summarize the core modules, main dependencies, key documents, and their relationships.
A project structure overview, module relationship explanation, and summaries of key code and documentation nodes.
Search the semantic graph for code, configuration, design docs, and past tasks related to user authentication, then rank them by relevance.
A ranked list of relevant results across code and documentation, with reasons for each match.
Using the current project semantic graph, organize pending tasks, identify impacted modules, and generate action steps to fix a login issue.
A task list, impact analysis, and actionable step-by-step recommendations for the fix.
Provide persistent graph memory, semantic search, and traversal for AI agents.
Provides persistent graph memory for LLMs with auto-linking and layered recall.
Build a project knowledge graph for code search, traversal, and Q&A.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Provide persistent graph-memory storage and retrieval for LLM agents via MCP.
Give AI knowledge-graph memory with cloud persistence and semantic search.