memory-proThis skill provides semantic search over your memory files using a local vector database.
Install via ClawdBot CLI:
clawdbot install royhk920/memory-proGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://127.0.0.1:8001/searchAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Freelancers can use Memory Pro to index project notes, client briefs, and personal reflections stored in Markdown files. This enables quick semantic search to recall past decisions, project details, or creative ideas without manual tagging, improving productivity and client responsiveness.
Researchers and students can index academic notes, literature reviews, and thesis drafts as Markdown files. The semantic search helps retrieve relevant concepts or references across documents, aiding in literature synthesis and avoiding redundant work during writing phases.
Software development teams can index technical documentation, code comments, and meeting notes in Markdown format. Memory Pro allows developers to quickly find solutions or historical context based on meaning, reducing time spent digging through files and improving onboarding for new team members.
Content creators and bloggers can index article drafts, research notes, and editorial calendars stored as Markdown files. Semantic search helps retrieve past ideas or related content for inspiration, streamlining the writing process and ensuring consistency across publications.
Offer Memory Pro as a cloud-hosted service with tiered subscriptions based on storage limits, search frequency, and team size. Revenue comes from monthly or annual fees, targeting small to medium businesses needing efficient knowledge retrieval without self-hosting.
Sell on-premise licenses to large organizations requiring data privacy and customization. Include premium support, custom integrations, and training services. Revenue is generated through one-time license fees and ongoing maintenance contracts.
Provide a free version with basic indexing and search capabilities for individual users, while charging for advanced features like API access, priority support, and enhanced analytics. This model attracts a broad user base and converts power users to paid plans.
💬 Integration Tip
Ensure the background service is running via systemd before querying, and configure environment variables to match your workspace structure for optimal indexing.
Scored May 30, 2026
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Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files