$ loading_
Search, organize, and log local knowledge with semantic memory tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "opencode-personal-knowledge" yet — see the docs or source repo.
Please semantically search my local knowledge base for “vector database indexing optimization,” return the 5 most relevant notes, and summarize the key findings by relevance.
A ranked list of relevant notes with a concise summary of the core insights.
Analyze the current tag usage in my knowledge base, identify duplicate, overlapping, or inconsistent tags, and suggest a unified organization plan.
A list of tag issues plus an actionable plan for merging and renaming tags.
Save the key points from this product requirements discussion into session memory, including goals, constraints, and action items, and generate searchable tags.
A structured session record containing a summary, tags, and trackable follow-up items.
Search markdown knowledge bases with hybrid ranking and intelligent reranking.
Manage, version, and query a governance-grade Markdown knowledge base.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Query opencode documentation and get concise usage guidance.
Provide persistent shared memory, fact consolidation, and hybrid retrieval for AI teams.
Provide persistent shared memory, entity extraction, and hybrid search for AI tools.