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Give coding agents local structural memory for leaner, refactor-safe development.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "graphpilot" yet — see the docs or source repo.
Use graphpilot to build structural memory for this repository. Summarize module boundaries, key dependencies, and primary entry files for reuse in later coding tasks.
A reusable structural summary the agent can reference, reducing repeated codebase scanning and token usage.
Using graphpilot’s structural memory, analyze which files, interfaces, and call chains would be affected by refactoring the user service into a standalone module, then suggest an edit sequence.
An impact map, dependency explanation, and a safer step-by-step refactoring plan.
Call graphpilot to extract long-term memory for the current codebase, keeping only structural information related to the payment flow so the agent can fix a bug without loading the entire source.
A compact, payment-focused structural context that helps the agent locate and fix issues more efficiently.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Provide durable, local-first memory for AI coding agents across MCP hosts.
Give AI coding agents persistent local shared memory across agents.
Build a self-evolving memory graph for coding agents with semantic search.
Give coding agents persistent, evidence-backed project memory across sessions.