Vexor — AI skill for Claude Code
Vector-powered CLI for semantic file search with a Claude/Codex skill.
How to install Vexor
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open scarletkc/vexor and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Vexor does
[](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)
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README
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)
**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
──────────────────────────────────
...
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