Vexor

Vexor

[](https://www.python.org/downloads/) [](https://pypi.org/project/vexor/) [](https://github.com/scarletkc/vexor/actions/workflows/publish.yml) [](https://codecov.io/github/scarletkc/vexor) [](https://github.com/scarletkc/vexor/blob/main/LICENSE) [](https://deepwiki.com/scarletkc/vexor)

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**Vexor** is a semantic search engine that builds reusable indexes over files and code. It supports configurable embedding and reranking providers, and exposes the same core through a Python API, a CLI tool, and an optional desktop frontend.

  Vexor Demo Video

Featured In

Vexor has been recognized and featured by the community:

• Ruan Yifeng's Weekly (Issue #379) - A leading tech newsletter in the Chinese developer community.
• Awesome Claude Skills - Curated list of best-in-class skills for AI agents.

Why Vexor?

When you remember what a file *does* but forget its name or location, Vexor finds it instantly—no grep patterns or directory traversal needed.

Designed for both humans and AI coding assistants, enabling semantic file discovery in autonomous agent workflows.

Install

Download standalone binary from [releases](https://github.com/scarletkc/vexor/releases) (no Python required), or:

pip install vexor  # also works with pipx, uv

Quick Start

0. Guided Setup (Recommended)

vexor init

The wizard also runs automatically on first use when no config exists.

1. Search

vexor "api client config"  # defaults to search current directory
# or explicit path:
vexor search "api client config" --path ~/projects/demo --top 5
# in-memory search only:
vexor search "api client config" --no-cache 

Vexor auto-indexes on first search. Example output:

Vexor semantic file search results
──────────────────────────────────

...