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graphify

Appears in 4 awesome lists

Turn any codebase — plus docs, SQL schemas, configs, and PDFs — into a queryable knowledge graph. Ships as a /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI; local deterministic AST parsing, every edge explained, no vector store (Apr 2026)

Open github.comgraphify-labs/graphify

Found in these lists

Awesome Open Source AI

Section: 13. Developer Tools & Integrations · AI coding assistant skill that maps a codebase and resource directory into an interactive knowledge graph for local query and navigation. MIT licensed.

FreshScore 89

Awesome Prompts

Section: Tools & Libraries · Turn any codebase — plus docs, SQL schemas, configs, and PDFs — into a queryable knowledge graph. Ships as a /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI; local deterministic AST parsing, every edge explained, no vector store (Apr 2026)

FreshScore 90

Awesome Python

Section: Data Visualization · Turn any folder of code, SQL schemas, docs, papers, images, or videos into a queryable knowledge graph.

FreshScore 94

awesome-python

Section: Other · Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

FreshScore 81

LangChain

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

In 20 listsDetails

LiteLLM

Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…

In 16 listsDetails

LlamaIndex

(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.

In 14 listsDetails

PydanticAI

June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…

In 12 listsDetails

Ollama

Ollama is a tool for running large language models locally, offering easy setup for macOS, Windows, Linux, and Docker, along with a library of models and quickstart guides for customization and integration github | github profile

In 12 listsDetails

Gradio

Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.

In 11 listsDetails

Semantic Kernel

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…

In 11 listsDetails

Streamlit

The fastest way to build and share data apps. Transform Python scripts into beautiful web applications with minimal code. Widely used for ML model demos, data visualization, and internal tools.

In 10 listsDetails