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Gno

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wa...
搜索本地文档、文件、笔记和知识库。索引目录,支持 BM25/向量/混合检索,获取带引用的 AI 回答。适用于用户...
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开发者工具 clawhub v1.2.0 2 版本 99949.3 Key: 无需
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概述

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
  • User wants to export a note or collection for gno.sh publishing

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
Publishpublish exportExport gno.sh publish artifacts
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 (search/vsearch/query/ask)

-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
--since <date>        Modified after date (ISO: 2026-03-01)
--until <date>        Modified before date (ISO: 2026-03-31)
--exclude <terms>     Exclude docs containing any term (comma-separated)
--intent <text>       Disambiguate ambiguous queries (e.g. "python" = language not snake)
--json                JSON output
--files               URI list output
--line-numbers        Include line numbers

Advanced: Structured Query Modes (query/ask only)

Use --query-mode to combine multiple retrieval strategies in one query (repeatable):

# Combine keyword + hypothetical document
gno query "API rate limiting" \
  --query-mode "term:rate limit" \
  --query-mode "hyde:how to implement request throttling"

# Add intent steering
gno query "python" \
  --query-mode "term:python" \
  --query-mode "intent:programming language"

Modes: term: (keyword), intent: (disambiguation), hyde: (hypothetical doc for semantic matching). Max one hyde per query.

Document Retrieval

# Full document by URI
gno get gno://work/readme.md

# By document ID
gno get "#a1b2c3d4"

# Specific line range: --from <start> -l <count>
gno get gno://work/report.md --from 100 -l 20

# With line numbers
gno get gno://work/report.md --line-numbers

# JSON output with capabilities metadata
gno get gno://work/report.md --json

# Multiple documents
gno multi-get gno://work/doc1.md gno://work/doc2.md

Editable vs read-only: gno get --json returns a capabilities field showing whether a document is editable at its source. Markdown and plain text files are editable in place. Converted documents (PDF, DOCX, XLSX) are read-only -- to edit their content, create a new markdown note instead of overwriting the binary source.

Search Then Get (common pipeline)

# Search, get full content of top result
gno query "auth" --json | jq -r '.results[0].uri' | xargs gno get

# Get all results
gno search "error handling" --json | jq -r '.results[].uri' | xargs gno multi-get

Document Links & Similarity

# Outgoing links from a document
gno links gno://notes/readme.md

# Find documents linking TO a document (backlinks)
gno backlinks gno://notes/api-design.md

# Find semantically similar documents
gno similar gno://notes/auth.md

# Similar across all collections (not just same collection)
gno similar gno://notes/auth.md --cross-collection

# Stricter threshold (default: 0.7)
gno similar gno://notes/auth.md --threshold 0.85

# Knowledge graph
gno graph --json
gno graph -c notes --similar   # Include similarity edges

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)
gno embed travel       # Embed one collection only
# or
gno embed --collection travel

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

Collection-specific embedding models

Collections can override the global embedding model with models.embed.

CLI path:

gno collection add ~/work/gno/src \
  --name gno-code \
  --embed-model "hf:Qwen/Qwen3-Embedding-0.6B-GGUF/Qwen3-Embedding-0.6B-Q8_0.gguf"

Good default guidance:

  • keep the global preset for mixed notes/docs collections
  • use a collection-specific embed override for code-heavy collections when benchmark guidance says so
  • after changing an embed model on an existing populated collection, run:
gno embed --collection gno-code

If you want to remove old vectors after switching:

gno collection clear-embeddings gno-code        # stale models only
gno collection clear-embeddings gno-code --all  # remove everything, then re-embed

MCP-equivalent write tool:

  • gno_clear_collection_embeddings

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

版本历史

共 2 个版本

  • v1.2.0 当前
    2026-04-30 07:19 安全 安全
  • v0.14.3
    2026-03-28 10:46 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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