gno

Search 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, or wants to start a local web UI for their docs.

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Install skill "gno" with this command: npx skills add nicoataiza/gno-bak-2026-01-28t18-01-20-10-30

GNO - Local Knowledge Engine

Fast local semantic search. Index once, search instantly. No cloud, no API keys.

When to Use This Skill

  • User asks to search files, documents, or notes
  • User wants to find information in local folders
  • User needs to index a directory for searching
  • User mentions PDFs, markdown, Word docs, code to search
  • User asks about knowledge base or RAG setup
  • User wants semantic/vector search over their files
  • User needs to set up MCP for document access
  • User wants a web UI to browse/search documents
  • User asks to get AI answers from their documents
  • User wants to tag, categorize, or filter documents
  • User asks about backlinks, wiki links, or related notes
  • User wants to visualize document connections or see a knowledge graph

Quick Start

gno init                              # Initialize in current directory
gno collection add ~/docs --name docs # Add folder to index
gno index                             # Build index (ingest + embed)
gno search "your query"               # BM25 keyword search

Command Overview

CategoryCommandsDescription
Searchsearch, vsearch, query, askFind documents by keywords, meaning, or get AI answers
Linkslinks, backlinks, similar, graphNavigate document relationships and visualize connections
Retrieveget, multi-get, lsFetch document content by URI or ID
Indexinit, collection add/list/remove, index, update, embedSet up and maintain document index
Tagstags, tags add, tags rmOrganize and filter documents
Contextcontext add/list/rm/checkAdd hints to improve search relevance
Modelsmodels list/use/pull/clear/pathManage local AI models
ServeserveWeb UI for browsing and searching
MCPmcp, mcp install/uninstall/statusAI assistant integration
Skillskill install/uninstall/show/pathsInstall skill for AI agents
Adminstatus, doctor, cleanup, reset, vec, completionMaintenance and diagnostics

Search Modes

CommandSpeedBest For
gno searchinstantExact keyword matching
gno vsearch~0.5sFinding similar concepts
gno query --fast~0.7sQuick lookups
gno query~2-3sBalanced (default)
gno query --thorough~5-8sBest recall, complex queries
gno ask --answer~3-5sAI-generated answer with citations

Retry strategy: Use default first. If no results: rephrase query, then try --thorough.

Common Flags

-n <num>              Max results (default: 5)
-c, --collection      Filter to collection
--tags-any <t1,t2>    Has ANY of these tags
--tags-all <t1,t2>    Has ALL of these tags
--json                JSON output
--files               URI list output
--line-numbers        Include line numbers

Global Flags

--index <name>    Alternate index (default: "default")
--config <path>   Override config file
--verbose         Verbose logging
--json            JSON output
--yes             Non-interactive mode
--offline         Use cached models only
--no-color        Disable colors
--no-pager        Disable paging

Important: Embedding After Changes

If you edit/create files that should be searchable via vector search:

gno index              # Full re-index (sync + embed)
# or
gno embed              # Embed only (if already synced)

MCP gno.sync and gno.capture do NOT auto-embed. Use CLI for embedding.

Reference Documentation

TopicFile
Complete CLI reference (all commands, options, flags)cli-reference.md
MCP server setup and toolsmcp-reference.md
Usage examples and patternsexamples.md

Source Transparency

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