Vector-powered CLI for semantic file search with Claude/Codex integration.
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No automatic installation available. Please visit the source repository for installation instructions.
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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 VideoVexor has been recognized and featured by the community:
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.
Download standalone binary from releases (no Python required), or:
pip install vexor # also works with pipx, uv
vexor init
The wizard also runs automatically on first use when no config exists.
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 ────────────────────────────────── # Similarity File path Lines Preview 1 0.923 ./src/config_loader.py - config loader entrypoint 2 0.871 ./src/utils/config_parse.py - parse config helpers 3 0.809 ./tests/test_config_loader.py - tests for config loader
vexor index # indexes current directory # or explicit path: vexor index --path ~/projects/demo --mode code
Useful for CI warmup or when
auto_indexThe desktop app is experimental and not actively maintained. It may be unstable. For production use, prefer the CLI.
Download the desktop app from releases.
Vexor can also be imported and used directly from Python:
from vexor import index, search index(path=".", mode="head") response = search("config loader", path=".", mode="name") for hit in response.results: print(hit.path, hit.score)
By default it reads
~/.vexor/config.jsondocs/api/python.mdThis repo includes a skill for AI agents to use Vexor effectively:
vexor install --skills claude # Claude Code vexor install --skills codex # Codex
Skill source: plugins/vexor/skills/vexor-cli
vexor config --set-provider openai # default; also supports gemini/custom/local vexor config --set-model text-embedding-3-small vexor config --set-batch-size 0 # 0 = single request vexor config --set-embed-concurrency 4 # parallel embedding requests vexor config --set-extract-concurrency 4 # parallel file extraction workers vexor config --set-extract-backend auto # auto|thread|process (default: auto) vexor config --set-auto-index true # auto-index before search (default) vexor config --rerank bm25 # optional BM25 rerank for top-k results vexor config --rerank flashrank # FlashRank rerank (requires optional extra) v
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