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Sensegrep

Sensegrep

sensegrep

|
7 installs
| (0) | Free
Semantic + structural code search with AI-powered duplicate detection
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Sensegrep for VS Code

Semantic + structural code search with AI-powered duplicate detection.

Search your codebase by meaning, not just text. Sensegrep uses AI embeddings and tree-sitter AST parsing to find conceptually relevant code.

Features

  • Semantic Search - Natural language queries to find relevant code
  • Survey & Cluster - Map a code domain or split a broad theme into related subtopics
  • Find Similar Code - Select code and find similar patterns across your project
  • Duplicate Detection - AI-powered detection of logical duplicates with impact scoring
  • Structural Filters - Filter by symbol type, exports, async, complexity, language, decorators, and more
  • Tree-Shaking - Results collapse irrelevant code, showing only what matters
  • Code Lens - Inline Find Similar actions
  • Auto-Indexing - Automatic incremental index updates on file changes
  • Semantic Folding - Collapse unrelated code when navigating to results
  • Config-first Embeddings - Share ~/.config/sensegrep/config.json with CLI and MCP

Supported Languages

  • TypeScript / JavaScript (TSX/JSX)
  • Python (dataclasses, protocols, decorators, async generators, TypedDict)
  • Java (classes, interfaces, records, annotations, methods)
  • Vue (single-file components with script and script setup support)

Commands

Command Shortcut Description
Sensegrep: Semantic Search - Open semantic search
Sensegrep: Find Similar Code - Find code similar to selection
Sensegrep: Semantic Search (Advanced) - Search with all filter options
Sensegrep: Survey Code Domain - Group semantically related hits into reading domains
Sensegrep: Cluster Code Theme - Decompose a broad query into coherent subthemes
Sensegrep: Detect Duplicates - Analyze project for logical duplicates
Sensegrep: Index Project - Incremental index update
Sensegrep: Reindex Project (Full) - Full reindex from scratch
Sensegrep: Toggle Watch Mode - Enable/disable auto-reindexing
Sensegrep: Verify Index Integrity - Check index is up to date
Sensegrep: Show Index Stats - Display index metadata
Sensegrep: Fold Unrelated Code - Collapse code not related to current result
Sensegrep: Export Search Results - Export results to file

Configuration

Setting Default Description
sensegrep.autoIndex false Index project when Sensegrep activates
sensegrep.watchMode true Auto-reindex on file changes
sensegrep.watchIntervalMs 60000 Min interval between reindexing (ms)
sensegrep.includeDocs false Include Markdown/documentation files in the index
sensegrep.includeConfig false Include JSON/YAML/TOML config files in the index
sensegrep.showCodeLens true Show inline Find Similar actions
sensegrep.showDiagnostics true Show duplicate warnings in Problems panel
sensegrep.semanticFolding true Collapse unrelated code on navigation
sensegrep.duplicateThreshold 0.85 Similarity threshold for duplicates
sensegrep.embeddings.provider config config, gemini, openai, or bedrock
sensegrep.embeddings.model empty Embedding model override

Embeddings Configuration

By default, the extension uses the same configuration as the CLI/MCP:

{
  "provider": "bedrock",
  "embedModel": "cohere.embed-v4:0",
  "embedDim": 1536,
  "region": "us-east-1"
}

Store it at ~/.config/sensegrep/config.json, or configure equivalent environment variables.

For LM Studio or another OpenAI-compatible embeddings server, set provider to openai, baseUrl to the server /v1 endpoint, and embedModel/embedDim to the running embedding model.

For Gemini, set sensegrep.embeddings.provider to "gemini" and run Sensegrep: Set Gemini API Key or set GEMINI_API_KEY.

For Amazon Bedrock, set provider to bedrock in config.json or set sensegrep.embeddings.provider to "bedrock" and configure credentials/region through the standard Bedrock setup.

Development

npm run check --workspace sensegrep
npm run build --workspace sensegrep
npm test --workspace sensegrep

Package a platform-specific VSIX with one of:

npm run package:win32-x64 --workspace sensegrep
npm run package:linux-x64 --workspace sensegrep
npm run package:darwin-arm64 --workspace sensegrep

Requirements

  • VS Code 1.85+
  • Node.js 18+ (for the embedded search engine)

Links

  • GitHub
  • CLI & MCP packages
  • Documentation

License

Apache-2.0

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