RagClaw Knowledge Base Skill
Local-first knowledge base for OpenClaw.
Description
Index and search your documents, code, and web pages locally. Zero external APIs, offline embeddings, SQLite-based storage.
Commands
/kb add <source>
Index a file, directory, or URL.
Examples:
/kb add ./docs/
/kb add https://docs.example.com
/kb add ~/projects/my-app/src/
/kb add https://docs.example.com --crawl --crawl-max-depth 2Options:
--db <name>— Knowledge base name (default: "default")--recursive— Recurse into directories (default: true)--embedder <preset>— Embedder preset: nomic|bge|mxbai|minilm (default: nomic)--include <pattern>— Regex filter: include only matching filenames--exclude <pattern>— Regex filter: exclude matching filenames--max-depth <n>— Maximum directory recursion depth--max-files <n>— Maximum number of files to index--crawl— Follow links from a seed URL--crawl-max-depth <n>— Link traversal depth (default: 3)--crawl-max-pages <n>— Max pages to fetch (default: 100)--crawl-same-origin— Stay on the same domain (default: true)--crawl-include <patterns>— Comma-separated URL path prefixes to include--crawl-exclude <patterns>— Comma-separated URL path prefixes to exclude--crawl-concurrency <n>— Concurrent fetchers (default: 1)--crawl-delay <ms>— Delay between requests in ms (default: 1000)--enforce-guards— Enable path/URL security guards
/kb search <query>
Search the knowledge base.
Examples:
/kb search how to configure authentication
/kb search async function error handling
/kb search "memory leak" --mode hybrid --limit 10Options:
--db <name>— Knowledge base name (default: "default")--limit <n>— Max results (default: 5)--mode <mode>— Search mode: vector|keyword|hybrid (default: hybrid)--json— Machine-readable JSON output
/kb reindex
Re-process changed sources and keep vectors up to date.
Options:
--db <name>— Knowledge base name (default: "default")-f, --force— Force full rebuild (ignore hashes)-p, --prune— Remove sources that no longer exist on disk--embedder <preset>— Switch embedder and rebuild all vectors
/kb merge <source.sqlite>
Merge another knowledge base into the local one.
Options:
--db <name>— Destination knowledge base (default: "default")--strategy <strict|reindex>—strictcopies vectors verbatim (same embedder required);reindexre-embeds locally (default: strict)--on-conflict <skip|prefer-local|prefer-remote>— Conflict resolution (default: skip)--dry-run— Preview changes without writing--include <paths>— Comma-separated path prefixes to import--exclude <paths>— Comma-separated path prefixes to skip
/kb status
Show knowledge base statistics (chunks, sources, vector backend, embedder).
Options:
--db <name>— Knowledge base name (default: "default")
/kb list
List indexed sources.
Options:
--db <name>— Knowledge base name (default: "default")-t <file|url>— Filter by source type
/kb remove <source>
Remove a source from the index.
Options:
--db <name>— Knowledge base name (default: "default")-y— Skip confirmation prompt
/kb embedder list
List all available embedder presets with RAM requirements and status.
/kb embedder download [preset]
Pre-download a model for offline use.
Options:
--all— Download all built-in presets
/kb doctor
Check system health: Node.js version, RAM, sqlite-vec status, embedder compatibility, loaded plugins.
/kb plugin list
List discovered plugins with enabled/disabled status.
/kb plugin enable <name>
Enable a plugin (use --all for all discovered plugins).
/kb plugin disable <name>
Disable a plugin.
/kb config list
Show all configuration values and their source (env / config file / default).
/kb config get <key>
Show a single config value.
/kb config set <key> <value>
Persist a config value to ~/.config/kbclaw/config.yaml.
Supported Formats
| Type | Extensions |
|---|---|
| Markdown | .md, .mdx |
| Text | .txt |
.pdf (OCR for scanned pages) | |
| Word | .docx |
| Code | .ts, .js, .py, .go, .java |
| Images | .png, .jpg, .gif, .webp, .bmp, .tiff (OCR) |
| Web | http://, https:// |
Embedder Presets
| Alias | Model | Language | Context | Dims | ~RAM | Strengths |
|---|---|---|---|---|---|---|
nomic ⭐ | nomic-ai/nomic-embed-text-v1.5 | English | 8 192 tok | 768 | ~600 MB | Long docs, balanced, default |
bge | BAAI/bge-m3 | 100+ languages | 8 192 tok | 1024 | ~2.3 GB | Multilingual |
mxbai | mixedbread-ai/mxbai-embed-large-v1 | English | 512 tok | 1024 | ~1.4 GB | Best English MTEB |
minilm | sentence-transformers/all-MiniLM-L6-v2 | English | 256 tok | 384 | ~90 MB | Minimal RAM |
Run /kb doctor to check which presets fit your available RAM.
Storage
Knowledge bases are stored as SQLite files following XDG conventions:
- Default data dir:
~/.local/share/kbclaw/ - Config file:
~/.config/kbclaw/config.yaml - Backwards compat: if
~/.openclaw/kbclaw/exists it will be used automatically.
How It Works
- Extract — Pull text from documents (PDF, DOCX, HTML, code, images via OCR)
- Chunk — Split into semantic units (paragraphs, functions, classes)
- Embed — Generate vectors using a configurable local model (default: nomic-embed-text-v1.5, 768 dims)
- Store — SQLite with FTS5 for keyword search; embedder info written to DB metadata
- Search — Hybrid: 70% vector similarity + 30% BM25 keyword; embedder auto-detected from DB
All processing happens locally. No API keys required.