VectorCode

Ochiq manbalardan

LLM bilan ishlash tajribangizni kuchaytirish uchun kod omborlarini indekslash vositasi.

Mashina tarjimasi · Asl matnni koʻrsatish

A code repository indexing tool to supercharge your LLM experience.

MCP serverKategoriya: MCP serverlar · AI va xotira · Git va dasturlash · Qidiruv va bilimlarOpen sourcemaʼlumot tekshirilgan: 15-okt, 2026

Sharh

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

Oʻrnatish

Buyruqlar faqat koʻrsatiladi, marketpleys ularni bajarmaydi. Rasmiy hujjatlar bilan solishtiring.

Moslik

«Nomaʼlum» dalil topilmaganini bildiradi, mahsulot mos emasligini emas.
PlatformaHolatArxitekturaDalilIshonchlilik
Claude (web & desktop)Nomaʼlum———
Claude CodeNomaʼlum———
CursorNomaʼlum———
VS CodeNomaʼlum———
WindsurfNomaʼlum———
ChatGPTNomaʼlum———
PythonMos—0.7.20 relizidagi rasmiy yigʻma: vectorcode-0.7.20-py3-none-any.whl0.60

Relizlar

tekshirilgan: 29-okt, 2026
v0.7.20Oxirgi15-dek, 2025Rasmiy manba ↗

0.7.20 versiyasi fayllari

Marketpleys bu fayllarni saqlamaydi: yuklab olish rasmiy manbadan. Biz ularni skanerlamaganmiz.
FaylPlatformaHajmSHA-256Rasmiy manbadan yuklab olish
vectorcode-0.7.20-py3-none-any.whlpython · wheel48,5 KBf91e20dbe172…Rasmiy manba ↗
vectorcode-0.7.20.tar.gzNomaʼlum70,1 KB476328e5b5a2…Rasmiy manba ↗

Relizlar tarixi

Sifat profili

algoritm quality-v1.0 · baholangan 15-okt, 2026
Sifat bahosi68
Xavf bahosi0
Ishonchlilik 1.00
Sifat bahosi va xavf bahosi — turli koʻrsatkichlar. Yuqori sifat xavfsizlikni kafolatlamaydi.

Baho tarkibi

Qoʻllab-quvvatlash · 206
last activity 235 days ago
Hujjatlar · 1515
README 6451 chars, description present
Foydalanishga tayyorlik · 156
install instructions: no; releases: yes
Metamaʼlumotlar · 108
3/4 of description, homepage, license, topics
Relizlar · 1010
10 release(s), latest 305 days ago
Kategoriya aniqligi · 107
classifier confidence 0.65
Ommaboplik · 107
876 stars (log-dampened, 10k = max)
Litsenziya aniqligi · 55
SPDX MIT
Hamjamiyat · 55
issues enabled, 51 forks

Litsenziya

MIT
Litsenziya maʼlumrepozitoriy xostingi maʼlumotlariga koʻra

Bu katalog siyosati holati, yuridik xulosa emas.

Manbalar

github.com/Davidyz/VectorCodeAsosiy★ 876 yulduzfaollik: 23-fev, 2026Asosiy repozitoriy · Ishonchlilik 1.00

Sharhlar

Sharh yozish uchun kiring

Hali sharhlar yoʻq.

Muqobillar

README

Davidyz/VectorCode dan · litsenziya MIT · yuklangan 29-okt, 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]

Repozitoriyni ochish ↗