Инструменты разработчика
probe
Semantic code search for AI — ripgrep speed with tree-sitter AST parsing.
★ 722 звездыApache-2.0
Смотреть руководство →zvec-grep — проект с открытым исходным кодом из категории «Инструменты разработчика» от zvec-ai (zvec-ai/zvec-grep на GitHub). У него 3 994 звезды на GitHub и 235 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 октября 2026.
zvec-grep (zg): one local CLI unifying ripgrep-style exact search, BM25, and semantic vector search
Choose the codebase or document set you want searchable by meaning, not just by string.
Install the CLI globally from npm (Node.js 22+).
Run zg index with a local embedding model to create the .zvec-grep/ index.
Query with --human for readable, cited results, or wire zg into your agent via its installer/MCP tools.
Exact (ripgrep-style), BM25, and vector/semantic search behind a single interface.
Symbol-aware code search plus document and structured-data search.
Ranked answers link back to source files and lines.
Indexes live in .zvec-grep/; local embedding models keep data on your machine by default.
One-command installs into agent tools (for example OpenCode) and MCP tool exposure.
Index once, then query repeatedly without re-embedding the corpus.
Clone the project and enter its directory (CLI users can install from npm instead).
git clone https://github.com/zvec-ai/zvec-grep.git
cd zvec-grepInstall zg globally from npm (Node.js 22+ required).
npm install -g @zvec/zvec-grepBuild an index with a local embedding model, then ask a question.
zg index --embedding local/potion-retrieval-32m
zg query --human "where is authentication handled?" --limit 3zvec-ai develops zvec-grep (the zvec vector-search project team).
Yes, Apache-2.0 licensed and local-first.
No — local embedding models are supported and are the default posture; remote embeddings are used only with your permission.
ripgrep finds exact strings. zg keeps that, adds BM25 ranking and semantic vector search, and returns ranked results with citations — at the cost of building an index first.
Run `npm install -g @zvec/zvec-grep`, `zg index` in your project, then `zg query --human "your question"`.
Semantic code search for AI — ripgrep speed with tree-sitter AST parsing.
Fast, accurate semantic code search for agents — about 99% fewer tokens than grep plus read.
Lightweight AST-based semantic code search CLI (ccc) that makes coding agents faster and cheaper
An OpenRouter-style registry for agent tools: one token, thousands of priced endpoints, your own keys too
Fast, local, indexed code search built for AI assistants.
CLI proxy that cuts LLM token consumption 60-90% on common dev commands — one Rust binary
Другие проекты из категории «Инструменты разработчика» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если zvec-grep вам не подходит.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Соседние проекты из категории «Инструменты разработчика» в каталоге, ближайшие по числу звёзд к zvec-grep — продолжайте изучать полку по обе стороны от него.
Claude Octopus orchestrates Claude, Codex, Copilot, Gemini, and Ollama on one task — and surfaces disagreement
rmcp: the official Rust SDK for the Model Context Protocol — tokio-based servers and clients
Skill Recorder: watch a human do a task once, then generate a reusable AI-agent skill from the recording
LeanCTX — the Rust context gateway that controls what your AI coding tools can see.
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
The agent harness for complex codebases inside Codex — project memory, planning and verified completion.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.