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