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Record, query, and analyze conversation history for review and communication management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "recap" yet — see the docs or source repo.
Search recap for conversation records from the last 30 days containing the keyword "customer feedback", and list summaries, participants, and session times in reverse chronological order.
A filtered list of matching past conversations with summaries, participants, and timestamps.
Using this month's session data in recap, calculate daily conversation counts, the number of active participants, and summarize the main discussion topics.
Conversation metrics and a topic overview for team communication review.
Record the following meeting into recap: the topic is release retrospective, participants include product, engineering, and QA, and key conclusions and action items should be tagged.
A structured conversation record saved for later search and review.
Store, search, and query meeting notes with semantic RAG.
Enable MCP clients to remember users across chats with vector search.
Convert speech into text for note-taking, organization, and analysis.
Enable AI to transcribe audio, detect languages, and extract metadata.
Let AI manage profiles, match intents, and message securely for users.
Connect CRM, tickets, and channels for AI-powered customer support automation.