ck (seek) finds code by meaning, not just keywords. It's grep that understands what you're looking for — search for "error handling" and find try/catch blocks, error returns, and exception handling code even when those exact words aren't present.
# Install from crates.io
cargo install ck-search
# Just search — ck builds and updates indexes automatically
ck --sem "error handling" src/
ck --sem "authentication logic" src/
ck --sem "database connection pooling" src/
# Traditional grep-compatible search still works
ck -n "TODO" *.rs
ck -R "TODO|FIXME" .
# Combine both: semantic relevance + keyword filtering
ck --hybrid "connection timeout" src/
📚 Full Documentation — Installation guides, tutorials, feature deep-dives, and API reference
Connect ck directly to Claude Desktop, Cursor, or any MCP-compatible AI client for seamless code search integration:
# Start MCP server for AI agent integration
ck --serve
Claude Desktop Setup:
# Install via Claude Code CLI (recommended)
claude mcp add ck-search -s user -- ck --serve
# Note: You may need to restart Claude Code after installation
# Verify installation with:
claude mcp list # or use /mcp in Claude Code
Manual Configuration (alternative):
{
"mcpServers": {
"ck": {
"command": "ck",
"args": ["--serve"],
"cwd": "/path/to/your/codebase"
}
}
}
Tool Permissions: When prompted by Claude Code, approve permissions for ck-search tools (semantic_search, regex_search, hybrid_search, etc.)
Available MCP Tools:
- semantic_search - Find code by meaning using embeddings
- regex_search - Traditional grep-style pattern matching
- hybrid_search - Combined semantic and keyword search
- index_status - Check indexing status and metadata
- reindex - Force rebuild of search index
- health_check - Server status and diagnostics
Built-in Pagination: Handles large result sets gracefully with page_size controls, cursors, and snippet length management.
Launch an interactive search interface with real-time results and multiple preview modes:
# Start TUI for current directory
ck --tui
# Start with initial query
ck --tui "error handling"
Features:
- Multiple Search Modes: Toggle between Semantic, Regex, and Hybrid search with Tab
- Preview Modes: Switch between Heatmap, Syntax highlighting, and Chunk view with Ctrl+V
- View Options: Toggle between snippet and full-file view with Ctrl+F
- Multi-select: Select multiple files with Ctrl+Space, open all in editor with Enter
- Search History: Navigate with Ctrl+Up/Down
- Editor Integration: Opens files in $EDITOR with line numbers (Vim, VS Code, Cursor, etc.)
- Progress Tracking: Live indexing progress with file and chunk counts
- Config Persistence: Preferences saved to ~/.config/ck/tui.json
See TUI.md for keyboard shortcuts and detailed usage.
Find code by concept, not keywords. Understands synonyms, related terms, and conceptual similarity:
# These find related code even without exact keywords:
ck --sem "retry logic" # finds backoff, circuit breakers
ck --sem "user authentication" # finds login, auth, credentials
ck --sem "data validation" # finds sanitization, type checking
# Get complete functions/classes containing matches
ck --sem --full-section "error handling" # returns entire functions
All your muscle memory works. Same flags, same behavior, same output format:
ck -i "warning" *.log # Case-insensitive
ck -n -A 3 -B 1 "error" src/ # Line numbers + context
ck -l "error" src/ # List files with matches only
ck -L "TODO" src/ # List files without matches
ck -R --exclude "*.test.js" "bug" # Recursive with exclusions
Combine keyword precision with semantic understanding using Reciprocal Rank Fusion:
ck --hybrid "async timeout" src/ # Best of both worlds
ck --hybrid --scores "cache" src/ # Show relevance scores with color highlighting
ck --hybrid --threshold 0.02 query # Filter by minimum relevance
Semantic and hybrid searches transparently create and refresh their indexes before running. The first search builds what it needs; subsequent searches intelligently reuse cached embeddings:
Automatically excludes cache directories, build artifacts, and respects .gitignore and .ckignore files:
# ck respects multiple exclusion layers (all are additive):
ck "pattern" . # Uses .gitignore + .ckignore + defaults
ck --no-ignore "pattern" . # Skip .gitignore (still uses .ckignore)
ck --no-ckignore "pattern" . # Skip .ckignore (still uses .gitignore)
ck --exclude "dist" --exclude "logs" . # Add custom exclusions
# .ckignore file (created automatically on first index):
# - Excludes images, videos, audio, binaries, archives by default
# - Excludes JSON/YAML config files (issue #27)
# - Uses same syntax as .gitignore (glob patterns, ! for negation)
# - Persists across searches (issue #67)
# - Located at repository root, editable for custom patterns
# Exclusion patterns use .gitignore syntax:
ck --exclude "node_modules" . # Exclude directory and all contents
ck --exclude "*.test.js" . # Exclude files matching pattern
ck --exclude "build/" --exclude "*.log" . # Multiple exclusions
# Note: Patterns are relative to the search root
Why .ckignore? While .gitignore handles version control exclusions, many files that should be in your repo aren't ideal for semantic search. Config files (package.json, tsconfig.json), images, videos, and data files add noise to search results and slow down indexing. .ckignore lets you focus semantic search on actual code while keeping everything else in git. Think of it as "what should I search" vs "what should I commit".
# Example usage in AI agents
response = await client.call_tool("semantic_search", {
"query": "authentication logic",
"path": "/path/to/code",
"page_size": 25,
"top_k": 50, # Limit total results (default: 100 for MCP)
"snippet_length": 200
})
# Handle pagination
if response["pagination"]["next_cursor"]:
next_response = await client.call_tool("semantic_search", {
"query": "authentication logic",
"path": "/path/to/code",
"cursor": response["pagination"]["next_cursor"]
})
Perfect structured output for LLMs, scripts, and automation:
# JSONL format - one JSON object per line (recommended for agents)
ck --jsonl --sem "error handling" src/
ck --jsonl --no-snippet "function" . # Metadata only
ck --jsonl --topk 5 --threshold 0.7 "auth" # High-confidence results
# Traditional JSON (single array)
ck --json --sem "error handling" src/ | jq '.file'
Why JSONL for AI agents? - ✅ Streaming friendly: Process results as they arrive - ✅ Memory efficient: Parse one result at a time - ✅ Error resilient: One malformed line doesn't break entire response - ✅ Standard format: Used by OpenAI API, Anthropic API, and modern ML pipelines
# Threshold filtering
ck --sem --threshold 0.7 "query" # Only high-confidence matches
ck --hybrid --threshold 0.01 "concept" # Low-confidence (exploration)
# Limit results
ck --sem --topk 5 "authentication patterns"
# Complete code sections
ck --sem --full-section "database queries" # Complete functions
ck --full-section "class.*Error" src/ # Complete classes (works with regex too)
# Relevance scoring
ck --sem --scores "machine learning" docs/
# [0.847] ./ai_guide.txt: Machine learning introduction...
# [0.732] ./statistics.txt: Statistical learning methods...
| Language | Indexing | Chunking | AST-aware | Notes |
|---|---|---|---|---|
| Markdown | ✅ | ✅ | ✅ | Headings, sections, code blocks |
| Zig | ✅ | ✅ | ✅ | contributed by @Nevon (PR #72) |
Choose the right embedding model for your needs:
# Default: BGE-Small (fast, precise chunking)
ck --index .
# Mixedbread xsmall: Optimized for local semantic search (4K context, 384 dims)
ck --index --model mxbai-xsmall .
# Enhanced: Nomic V1.5 (8K context, optimal for large functions)
ck --index --model nomic-v1.5 .
# Code-specialized: Jina Code (optimized for programming languages)
ck --index --model jina-code .
Model Comparison:
- bge-small (default): 400-token chunks, fast indexing, good for most code
- mxbai-xsmall: 4K context window, 384 dimensions, optimized for local inference (Mixedbread)
- nomic-v1.5: 1024-token chunks with 8K model capacity, better for large functions
- jina-code: 1024-token chunks with 8K model capacity, specialized for code understanding
# Check index status
ck --status .
# Clean up and rebuild / switch models
ck --clean .
ck --switch-model mxbai-xsmall .
ck --switch-model nomic-v1.5 .
ck --switch-model nomic-v1.5 --force . # Force rebuild
# Add single file to index
ck --add new_file.rs
# File inspection (analyze chunking and token usage)
ck --inspect src/main.rs
ck --inspect --model bge-small src/main.rs # Test different models
Interrupting Operations: Indexing can be safely interrupted with Ctrl+C. The partial index is saved, and the next operation will resume from where it stopped, only processing new or changed files.
| Language | Indexing | Tree-sitter Parsing | Semantic Chunking |
|---|---|---|---|
| Python | ✅ | ✅ | ✅ Functions, classes |
| JavaScript/TypeScript | ✅ | ✅ | ✅ Functions, classes, methods |
| Rust | ✅ | ✅ | ✅ Functions, structs, traits |
| Go | ✅ | ✅ | ✅ Functions, types, methods |
| C | ✅ | ✅ | ✅ Functions, structs, enums, unions |
| C++ | ✅ | ✅ | ✅ Classes, structs, namespaces, templates |
| Markdown | ✅ | ✅ | ✅ Headings, sections, code blocks |
| Ruby | ✅ | ✅ | ✅ Classes, methods, modules |
| Haskell | ✅ | ✅ | ✅ Functions, types, instances |
| C# | ✅ | ✅ | ✅ Classes, interfaces, methods |
| Dart | ✅ | ✅ | ✅ Classes, mixins, methods |
Text Formats: JSON, YAML, TOML, XML, HTML, CSS, shell scripts, SQL, log files, config files, and any other text format.
Smart Binary Detection: Uses ripgrep-style content analysis, automatically indexing any text file while correctly excluding binary files.
Unsupported File Types: Text files with unrecognized extensions (like .org, .adoc, etc.) are automatically indexed as plain text. ck detects text vs binary based on file contents, not extensions.
cargo install ck-search
git clone https://github.com/BeaconBay/ck
cd ck
cargo install --path ck-cli
# Currently available:
cargo install ck-search # ✅ Available now via crates.io
# Coming soon:
brew install ck-search # 🚧 In development (use cargo for now)
apt install ck-search # 🚧 In development
# Find authentication/authorization code
ck --sem "user permissions" src/
ck --sem "access control" src/
ck --sem "login validation" src/
# Find error handling strategies
ck --sem "exception handling" src/
ck --sem "error recovery" src/
ck --sem "fallback mechanisms" src/
# Find performance-related code
ck --sem "caching strategies" src/
ck --sem "database optimization" src/
ck --sem "memory management" src/
# Find related test files
ck --sem "unit tests for authentication" tests/
ck -l --sem "test" tests/ # List test files by semantic content
# Identify refactoring candidates
ck --sem "duplicate logic" src/
ck --sem "code complexity" src/
ck -L "test" src/ # Find source files without tests
# Security audit
ck --hybrid "password|credential|secret" src/
ck --sem "input validation" src/
# Git hooks
git diff --name-only | xargs ck --sem "TODO"
# CI/CD pipeline
ck --json --sem "security vulnerability" . | security_scanner.py
# Code review prep
ck --hybrid --scores "performance" src/ > review_notes.txt
# Documentation generation
ck --json --sem "public API" src/ | generate_docs.py