memSearch local memory index (local-first). Use for /mem queries in Telegram.
Install via ClawdBot CLI:
clawdbot install Trumppo/memRun local-first memory search using the cached index.
1) Update the index if needed:
scripts/index-memory.py
2) Search the index with the user query:
scripts/search-memory.py "<query>" --top 5
Return the top hits with their paths and headers. Summarize briefly if needed.
Generated Mar 1, 2026
Individuals use the mem skill to search through locally stored notes, documents, and archives for quick information retrieval. This is ideal for researchers, writers, or hobbyists who maintain a personal knowledge base and need fast access without relying on cloud services.
Small teams or startups implement the mem skill to index and search internal documentation, meeting notes, or project files stored on local servers. It enhances collaboration by allowing team members to find relevant information quickly during discussions or decision-making processes.
Support agents use the mem skill to search a local index of FAQs, troubleshooting guides, and product manuals to provide accurate and timely responses to customer inquiries. This reduces reliance on external databases and improves response efficiency in offline or secure environments.
Legal professionals or compliance officers utilize the mem skill to search through locally cached legal documents, regulations, and case files. This ensures quick access to critical information while maintaining data privacy and security, especially in sensitive or regulated industries.
Offer a basic version of the mem skill for free with limited search capabilities, then charge for advanced features like larger index sizes, priority support, or integration with cloud services. This attracts individual users and small teams while generating revenue from power users and enterprises.
Sell licenses to large organizations that need the mem skill for secure, local-first memory search across departments. Include customization options, dedicated support, and compliance features tailored to industries like healthcare or finance, where data privacy is paramount.
Provide consulting services to help businesses integrate the mem skill into their existing workflows, such as setting up automated indexing or customizing search outputs. This model leverages expertise in local-first systems to offer tailored solutions and ongoing maintenance.
💬 Integration Tip
Ensure the local index is regularly updated via automated scripts to maintain search accuracy, and consider adding simple command aliases in Telegram for faster user access.
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
Create, search, and manage Bear notes via grizzly CLI.
Track water and sleep with JSON file storage
Notion API for creating and managing pages, databases, and blocks.
Smart ClawdBot documentation access with local search index, cached snippets, and on-demand fetch. Token-efficient and freshness-aware.
Work with Obsidian vaults as a knowledge base. Features: fuzzy/phonetic search across all notes, auto-folder detection for new notes, create/read/edit notes with frontmatter, manage tags and wikilinks. Use when: querying knowledge base, saving notes/documents, editing existing notes by user instructions.