VectorCode

From public sources

A code repository indexing tool to supercharge your LLM experience.

MCP serverCategory: MCP Servers · AI & memory · Git & developer tools · Search & knowledgeOpen sourcedata checked Oct 15, 2026

Overview

  • embeddings
  • mcp
  • mcp-server
  • neovim-plugin
  • rag
  • retrieval-augmented

Installation

Commands are shown, never run by the marketplace. Check them against the official documentation.

Compatibility

Unknown means no evidence was found — not that the product is incompatible.
PlatformStatusArchitectureEvidenceConfidence
Claude (web & desktop)Unknown———
Claude CodeUnknown———
CursorUnknown———
VS CodeUnknown———
WindsurfUnknown———
ChatGPTUnknown———
PythonCompatible—official build in release 0.7.20: vectorcode-0.7.20-py3-none-any.whl0.60

Releases

checked Oct 29, 2026
v0.7.20LatestDec 15, 2025Official source ↗

Files in 0.7.20

The marketplace does not host these files: downloads go to the official source. Files have not been scanned by us.
FilePlatformSizeSHA-256Download from the official source
vectorcode-0.7.20-py3-none-any.whlpython · wheel48.5 KBf91e20dbe172…Official source ↗
vectorcode-0.7.20.tar.gzUnknown70.1 KB476328e5b5a2…Official source ↗

Release history

Quality profile

algorithm quality-v1.0 · assessed Oct 15, 2026
Quality Score68
Risk Score0
Confidence 1.00
Quality Score and Risk Score are different measures. A high score does not guarantee safety.

Score components

Maintenance · 206
last activity 235 days ago
Documentation · 1515
README 6451 chars, description present
Ready to use · 156
install instructions: no; releases: yes
Metadata · 108
3/4 of description, homepage, license, topics
Releases · 1010
10 release(s), latest 305 days ago
Category confidence · 107
classifier confidence 0.65
Adoption · 107
876 stars (log-dampened, 10k = max)
License clarity · 55
SPDX MIT
Community · 55
issues enabled, 51 forks

License

MIT
Known licensefrom the repository host

This is the catalog policy status, not legal advice.

Sources

github.com/Davidyz/VectorCodePrimary★ 876 starslast activity Feb 23, 2026Primary repository · Confidence 1.00

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README

From Davidyz/VectorCode · license MIT · fetched Oct 29, 2026

VectorCode

[codecov] [Test and Coverage] [pypi]

VectorCode is a code repository indexing tool. It helps you build better prompt for your coding LLMs by indexing and providing information about the code repository you're working on. This repository also contains the corresponding neovim plugin that provides a set of APIs for you to build or enhance AI plugins, and integrations for some of the popular plugins.

[!NOTE] This project is in beta quality and is undergoing rapid iterations. I know there are plenty of rooms for improvements, and any help is welcomed.

  • Why VectorCode?
  • Documentation
    • About Versioning
  • TODOs
  • Credit
    • Special Thanks
  • Star History

Why VectorCode?

LLMs usually have very limited understanding about close-source projects, projects that are not well-known, and cutting edge developments that have not made it into releases. Their capabilities on these projects are quite limited. With VectorCode, you can easily (and programmatically) inject task-relevant context from the project into the prompt. This significantly improves the quality of the model output and reduce hallucination.

[asciicast]

Documentation

[!NOTE] The documentation on the main branch reflects the code on the latest commit. To check for the documentation for the version you're using, you can check out the corresponding tags.

  • For the setup and usage of the command-line tool, see the CLI documentation;
  • For neovim users, after you've gone through the CLI documentation, please refer to the neovim plugin documentation (and optionally the lua API reference) for further instructions.
  • Additional resources:
    • the wiki for extra tricks and tips that will help you get the most out of VectorCode;
    • the discussions where you can ask general questions and share your cool usages about VectorCode.
    • If you're feeling adanvturous, feel free to check out the pull requests for WIP features.

If you're trying to contribute to this project, take a look at the contribution guide, which contains information about some basic guidelines that you should follow and tips that you may find helpful.

About Versioning

This project follows an adapted semantic versioning:

  • Until 1.0.0 is released, the major version number stays 0 which indicates that this project is still in early stage, and features/interfaces may change from time to time;
  • The minor version number indicates breaking changes. When I decide to remove a feature/config option, the actual removal will happen when I bump the minor version number. Therefore, if you want to avoid breaking a working setup, you may choose to use a version constraint like "vectorcode<0.7.0";
  • The patch version number indicates non-breaking changes. This can include new features and bug fixes. When I decide to deprecate things, I will make a new release with bumped patch version. Until the minor version number is bumped, the deprecated feature will still work but you'll see a warning. It's recommended to update your setup to adapt the new features.

TODOs

  • query by file path excluded paths;
  • chunking support;
    • add metadata for files;
    • chunk-size configuration;
    • smarter chunking (semantics/syntax based), implemented with py-tree-sitter and tree-sitter-language-pack;
    • configurable document selection from query results.
  • NeoVim Lua API with cache to skip the retrieval when a project has not been indexed Returns empty array instead;
  • job pool for async caching;
  • persistent-client;
  • proper remote Chromadb support (with authentication, etc.);
  • respect .gitignore;
  • implement some sort of project-root anchors (such as .git or a custom .vectorcode.json) that enhances automatic project-root detection. Implemented project-level .vectorcode/ and .git as root anchor
  • ability to view and delete files in a collection;
  • joint search (kinda, using codecompanion.nvim/MCP);
  • Nix support (unofficial packages here);
  • Query rewriting (#124).

Credit

Special Thanks

[JetBrains logo.]

Star History

[Star History Chart]

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