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GitHub Trending repositories tagged with python.

  1. 1tirth8205/code-review-graphcode-review-graph is a local-first Python tool that builds a persistent intelligence graph of a codebase for MCP servers and CLI workflows. It helps AI coding assistants inspect only the files, symbols, and relationships relevant to a review or task, reducing context size for large repositories. The project targets code review, repository navigation, and automation, with benchmarks, a GitHub Action, and reproducible evaluation steps.
  2. 2HKUDS/DeepTutorDeepTutor is a Python project for lifelong personalized tutoring, with a public site, CLI, ecosystem docs, and a contributor roadmap. The repository appears to focus on adaptive learning experiences and community-driven development, with recent release notes highlighting themeable code blocks in v1.5.3. Its high star count suggests strong interest from developers exploring AI-assisted education tools.
  3. 3MoonshotAI/kimi-cliMoonshotAI's kimi-cli is a Python terminal AI agent for coding workflows. The project is transitioning into Kimi Code CLI, which keeps existing documentation and installations available while migrating user configuration and sessions during installation. It targets developers who want an AI assistant inside the command line for coding help, project navigation, and terminal-based interaction without leaving their shell.
  4. 4apache/ossieApache Ossie is an incubating Apache project that defines a vendor-neutral way to exchange semantic metadata across analytics, AI, and BI platforms. Written primarily in Python, it aims to give teams a shared specification for semantic models, reducing duplicated definitions across tools and helping organizations maintain a single source of truth for metrics, dimensions, and business context.
  5. 5Shubhamsaboo/awesome-llm-appsawesome-llm-apps is a large Python collection of open-source LLM application templates, including AI agents, agent skills, and RAG apps. The repository includes tested examples for Claude, Gemini, GPT, DeepSeek, Llama, Qwen, and other models, with Apache-2.0 licensing for reuse. It is useful for developers who want practical starter projects for building, adapting, or shipping LLM-powered products.
  6. 6kvcache-ai/ktransformersKTransformers is a Python framework for experimenting with efficient large language model inference and fine-tuning across CPU and GPU resources. It focuses on heterogeneous computing, letting researchers and engineers test optimization strategies for serving and adapting LLMs with different hardware layouts. The project targets practical inference, supervised fine-tuning, and future performance work for large models.

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