ragpilot

AI Code Assistants & Copilots

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Ragpilot functions as a local server that indexes and manages your codebase to enable AI coding agents with deep semantic understanding, enhancing code navigation, impact analysis, and contextual reasoning while minimizing token use. Key features include semantic vector-based search powered by fast embedding and Qdrant, symbol and call graph visualization across eleven programming languages, incremental real-time code indexing, and optimized context bundling to reduce token consumption, making it ideal for developers, code reviewers, and teams seeking efficient, accurate AI-assisted coding and codebase management without relying on cloud services.

ragpilot can be found in AI Code Assistants & Copilots categories.

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ragpilot Main Features

• Easy setup
  You start by cloning your project, then ragpilot indexes your code and sets up your AI tools.
• Local-first
  Ragpilot stores and processes code on your own computer, keeping everything local.
• Impact analysis
  It shows which files will change and what might break before you make changes.
• Semantic search
  It finds code by meaning using quick, accurate search based on code concepts.
• Context bundling
  Ragpilot gathers all needed information into one small part, saving tokens and avoiding overload.
• Token efficiency
  It saves tokens by retrieving only what each task needs, making AI work faster and cheaper.
• Symbol navigation
  You can explore code symbols and call graphs like a compiler does, making navigation easier.
• Multi-client setup
  It works with many AI tools and editors like Claude, Codex, VS Code, and others with one setup.
• Multiple languages
  It works with 11 programming languages to support many projects.
• Incremental indexing
  Only changed files are re-indexed automatically, keeping the search data fresh.

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