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Manage contextual data in Markdown with metadata for save, search, and retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Out of Context" yet — see the docs or source repo.
Save the following project background as a context entry in Markdown with metadata: project name "Smart Support Upgrade," tags "support, knowledge-base, Q3," and content covering goals, scope, key contacts, and current risks.
A structured Markdown context file is created and saved with clear metadata and body content.
Find contexts related to "knowledge base migration," prioritizing recently updated entries with tags including "Q3" or "risk," and return a short summary for each.
A list of matching context entries is returned with metadata, update times, and content summaries.
List all contexts not updated for over 90 days with tags "temporary" or "draft," then delete them after confirmation and provide a deletion summary.
It first shows the entries marked for deletion, then provides a final deletion summary and status report.
Save, organize, and preprocess context for better analysis and search results.
Turn local Markdown knowledge into searchable context for AI coding agents.
Give LLMs persistent, searchable access to project knowledge and session context.
Read, search, and update codebase documentation context through MCP.
Helps AI agents manage a structured Markdown or Obsidian knowledge vault.
Lets AI retrieve on-chain context and blockchain data from EVM networks.