gnoSearch local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, wants to start a local web UI for their docs, or asks what was said in past coding-agent sessions.
Install via ClawdBot CLI:
clawdbot install gmickel/gnoGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://localhost:3000/graph`Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Law firms can index case files, contracts, and legal research to quickly find precedents or clauses. The hybrid search enables precise keyword matching for case numbers and semantic understanding for legal concepts, improving case preparation efficiency.
Researchers index PDFs, notes, and code repositories to search across publications and datasets. The AI answer feature helps synthesize findings from multiple sources, while the web UI allows collaborative browsing of research materials.
Startups use it to index meeting notes, product docs, and codebases, enabling employees to find information instantly. The MCP integration allows AI assistants to answer questions based on company knowledge, reducing onboarding time.
Medical institutions index patient records, research papers, and clinical guidelines to support diagnostic decisions. The semantic search helps find similar cases or treatments, while maintaining data privacy locally.
Writers and journalists index articles, interviews, and reference materials to retrieve relevant information for stories. The tagging system organizes content by topic, and the graph feature visualizes connections between ideas.
Offer a free tier for individual users with basic search and indexing, and paid plans for teams with advanced features like AI answers, MCP integrations, and priority support. Revenue comes from monthly subscriptions based on usage limits.
Sell licenses for on-premises deployment to large organizations requiring data privacy and customization. Include features like high-volume indexing, dedicated support, and integration with existing systems, with revenue from one-time or annual fees.
Provide services to set up and tailor the tool for specific industries, such as legal or healthcare, including custom indexing pipelines and integration with proprietary software. Revenue is generated through project-based fees and ongoing maintenance contracts.
💬 Integration Tip
Use the MCP tools for seamless AI agent integration, and regularly run 'gno index' after file changes to keep vector embeddings up-to-date for accurate semantic search.
Scored Oct 21, 2026
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