claude

ogrep

Semantic code search with multiple modes: semantic (embedding similarity for conceptual queries), fulltext (FTS5 keyword matching for exact identifiers), and hybrid (combined - best of both). JSON output for AI tools.

6 on GitHubby gplv2v0.12.0MITupdated 6 months ago
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Plugin ogrep from marketplace ogrep-marketplace in gplv2/ogrep-marketplace. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (1)

  • ogrep

    Semantic code search - finds code by meaning, not just keywords. Use when: - User asks WHERE or HOW something is implemented ("where is X handled", "how does Y work") - You need to understand code behavior without knowing exact function names - Exploring unfamiliar codebases where you don't know the

Slash commands (9)

  • /ogrep:chunk

    Get a chunk by reference with optional context. Use after query finds something interesting to expand context.

  • /ogrep:clean

    Remove stale entries from the index (files that no longer exist)

  • /ogrep:device

    Detect hardware acceleration support (CUDA, MPS) for cross-encoder reranking

  • /ogrep:health

    Show database health diagnostics and repair options

  • /ogrep:index

    Index the current repository for semantic search (creates .ogrep/index.sqlite)

  • /ogrep:query

    Run a semantic query over the local SQLite index and return top matches

  • /ogrep:reindex

    Force rebuild of the semantic search index from scratch

  • /ogrep:reset

    Remove the ogrep index database for the current scope

  • /ogrep:status

    Show ogrep index status and statistics

Subagents (1)

  • ogrep-search

    Semantic code search - finds code by meaning, not just keywords. Use when exploring unfamiliar codebases, searching by concept, or when grep/Glob aren't finding what you need.

MCP servers (1)

  • ogrep

    runs: python -m ogrep.mcp

View source on GitHub ogrep.be

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