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Query beads store memories, notes, and comments with related context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bd-explore" yet — see the docs or source repo.
Use bd-explore to query memories related to “project delay reasons”, and return the verbatim content plus related context.
Returns matching memory text plus related notes, comments, or neighborhood links.
Use bd-explore to search for “user feedback”, list related notes and comments, and keep the verbatim text.
Outputs related entries with original wording for review and traceability.
Use bd-explore to query entries related to “release incident” and show their relationship neighborhood.
Returns surrounding connected items to help understand the context.
A researcher or product manager can use it to verify what a memory originally said and which items relate to it. It is useful for fact tracing and context reconstruction.
When a team reviews a topic, it can find related notes/comments by keyword while preserving the exact wording, avoiding detail loss from summaries.
When you need to understand where an issue sits in a knowledge graph, you can inspect its neighborhood to quickly surface linked clues.
It is an MCP tool for querying issues, notes, comments, and memories in a beads store. It returns full verbatim content and related relationship neighborhoods, subject to an output budget.
According to the description, it can return verbatim content and related context/neighborhoods. The exact fields and call parameters are not provided here; see the source repository.
It focuses on specific record types in a beads store and preserves full verbatim text plus relationship neighborhoods, not just summaries or hits. That makes it better for context tracing.
Let AI access Bear notes for search and relationship analysis.
Turn markdown notes into a searchable knowledge base with smart note and flashcard support.
Search local commitments and collaboration knowledge to track facts, people, and open tasks.
Enable AI agents to notify, ask, and manage human communication sessions.
Semantically search and expand session history to quickly recall past discussions.
Query Open Beauty Facts product and ingredient data in natural language.