semgrepll - Local Semantic Code Search#

Description#

Local semantic grep using embeddings - 100% offline capable with llama.cpp, ONNX, and Ollama backends. Use when searching code semantically, finding code by meaning, or indexing projects for AI-powered search.

Triggers#

• "search code semantically"
• "find code by meaning"
• "semantic grep"
• "index project for search"
• Commands: semgrep index, semgrep search

Actions#

• Index projects: semgrep index /path/to/project
• Search: semgrep search "query"
• List: semgrep ls
• Remove: semgrep rm <project>

Environment Variables (optional)#

VariableDefaultDescriptionEMBED_BACKENDautoBackend: llama, onnx, ollamaLLM_MODEL_PATH-Path to GGUF model (llama.cpp)ONNX_MODEL_PATHautoPath to ONNX modelSEMGREP_BACKENDautoStorage: sqlite, lanceEMBED_MODELmxbai-embed-large-v1Embedding model

Installation#

bash

pip install semgrepll
# Optional: ONNX support
pip install semgrepll[onnx]

Examples#

• "Index my project for semantic search" → runs semgrep index ./project
• "Find authentication code" → runs semgrep search "authentication"
• "Search for payment processing" → runs semgrep search "payment processing"

Requirements#

• Python 3.10+
• One of: llama-cpp-python, onnxruntime, or Ollama running locally

Notes#

• 100% offline - no external API calls
• Auto-detects fastest available backend
• Embeddings cached for fast re-indexing