Инструменты разработчика
agents-cli
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
★ 6,0 тыс. звёздApache-2.0
Смотреть руководство →graphify — проект с открытым исходным кодом из категории «Инструменты разработчика» от Graphify-Labs (Graphify-Labs/graphify на GitHub). У него 124 685 звёзд на GitHub и 12 040 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 7 октября 2026.
Turn any codebase, docs and schemas into a queryable knowledge graph for your coding assistant
Decide what you want from graphify and check the README and requirements to confirm it fits your setup and Python environment.
Clone the repository from GitHub (github.com/Graphify-Labs/graphify) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
Turns a codebase plus its docs, SQL schemas, configs and PDFs into a queryable knowledge graph.
Uses local, deterministic AST parsing with every edge explained, and no vector store.
Installs as a /graphify skill for Claude Code, Cursor, Codex and Gemini CLI.
Parsing is powered by tree-sitter across supported languages and file types.
Query relationships in the graph instead of grepping raw files.
Produces a graph report summarizing structure and connections in the project.
Start by getting the source and entering the project directory.
git clone https://github.com/Graphify-Labs/graphify.git
cd graphifyThe README installs the graphifyy package as a uv tool (pipx works too).
uv tool install graphifyyRun graphify in your project, then use the /graphify skill inside your assistant.
graphify . # see README for the exact command optionsIt is maintained by Graphify-Labs and contributors on GitHub, where the repository github.com/Graphify-Labs/graphify is the canonical home for code, issues and releases.
Yes — it is open source under the Apache-2.0 license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
No paid key is required for the local parsing and graph build; your coding assistant itself uses your own account.
Compared with Sourcegraph or grep-based search: Graphify builds a local, explainable knowledge graph with no vector store, rather than indexing code for text search alone.
Clone github.com/Graphify-Labs/graphify, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Turn any MCP server, OpenAPI spec or GraphQL endpoint into a CLI — at runtime, with zero codegen
A codebase knowledge graph that makes Claude Code, Cursor, Codex and Gemini faster, cheaper and repo-aware.
Turn any GitHub repo into one formatted text file — perfect context for AI.
MCP server that puts Apple developer docs inside your AI coding assistant.
Turn your AI assistant into an expert economics-paper writer.
Другие проекты из категории «Инструменты разработчика» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если graphify вам не подходит.
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Соседние проекты из категории «Инструменты разработчика» в каталоге, ближайшие по числу звёзд к graphify — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.