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Store meeting transcripts and recall decisions, commitments, and context across meetings.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "meeting-memory-mcp" yet — see the docs or source repo.
Search the last three product weekly meetings for pricing strategy discussions. Summarize the final decisions, rejected options, and the date and owner for each decision.
A time-ordered summary of pricing decisions with outcomes, alternatives, and owners.
Find commitments in the meeting records about release date, feature scope, and owners, and flag anything inconsistent or contradictory across meetings.
A commitment list highlighting contradictions, the meetings involved, and potential risks.
Based on the past month of relevant meeting notes, create a project context brief covering key decisions, open items, major disagreements, and next steps.
A structured project brief that helps new team members quickly understand progress and pending work.
Store, search, and query meeting notes with semantic RAG.
Search local markdown docs and meeting transcripts semantically without cloud or API keys.
Give AI agents persistent memory and semantic retrieval across conversations.
Enable AI clients to remember user preferences across conversations with vector search.
Safely read, write, and search a local Markdown memory store via MCP.
Stores approved corrections and preferences so agents avoid repeating mistakes.