Give coding agents structured product context grounded in real decisions and goals.
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.
Extract the confirmed goals, key decisions, open questions, and supporting evidence for this feature from the last two weeks of meeting notes, PRDs, and project tools, then format them as structured context for a coding agent.
A structured product context summary with goals, decisions, evidence sources, and open items.
Before implementing the user permissions module, gather product constraints, acceptance criteria, conclusions from past discussions, and rejected options from meetings, docs, and task systems, then provide them to the coding agent.
A developer-ready context package that helps the agent avoid misunderstandings and redundant exploration.
Find the rationale for why this feature uses the current approach by linking meeting records, experiment results, user feedback, and task changes, then generate an implementation-ready summary.
A traceable summary covering why the approach was chosen, the evidence chain, and implementation considerations.
Give AI coding agents searchable local project memory with safe structured updates.
Give AI coding agents persistent memory and codebase context retrieval.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Give AI coding agents persistent product context for more consistent development.
Provide coding agents with persistent encrypted memory, semantic search, and smart context injection.
Give AI coding agents persistent local shared memory across agents.