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Provide persistent memory, task tracking, and artifact storage for multi-project AI coding workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Marrow" yet — see the docs or source repo.
Use Marrow to record the current project's module structure, completed tasks, backlog items, and key code locations, then organize them into a handoff context for another AI model to continue development.
A persistent project memory and handoff package that lets different models continue coding seamlessly.
Use Marrow to retrieve code files, functions, and historical artifacts related to the user authorization flow, and organize them into a semantic reading order.
A topic-grouped code navigation result that helps quickly locate relevant implementation and context.
Create a versioned backlog in Marrow for the current codebase, including bug fixes, refactoring tasks, and follow-up improvements, with priorities and dependencies.
A structured task list with versioned records for tracking development progress over time.
Give coding agents structured product context grounded in real decisions and goals.
Give AI coding agents persistent local shared memory across agents.
Build persistent, semantically searchable memory for codebases via natural language queries.
Give coding agents persistent cross-session memory for project context and decisions.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Build semantic memory and structural code indexes for persistent AI project context.