Roberto
Provides lightning-fast, language-agnostic code analysis and search capabilities for large codebases, optimized for integration with AI and LLM tools.
About
Roberto is a high-performance, language-agnostic code analysis server built with Rust, designed for the Model Context Protocol (MCP). It offers instant symbol lookups, comprehensive reference tracking, and semantic code search across large repositories. Leveraging Tree-sitter for consistent parsing and lock-free concurrency, Roberto ensures sub-millisecond query responses and efficient indexing, making it ideal for empowering agentic AI and LLM applications with rich code context and RAG capabilities.
Key Features
- ⚡ High Performance: <1ms symbol lookups, >100 files/sec indexing
- 🔒 Lock-free Concurrency: Efficiently handles concurrent requests without blocking
- 🧠 Smart Caching: Binary persistence with <1s startup for indexed repositories
- 🔄 Incremental Updates: File watching with SHA-256 change detection for real-time accuracy
- 🔍 Full-text Search: BM25 statistical search through all indexed code content
- 1 GitHub stars
Use Cases
- Indexing large codebases to enable rapid symbol lookup and reference tracking for developers and AI agents.
- Performing semantic code search to discover specific functions, algorithms, or code patterns across an entire project.
- Generating structured outlines of files and directories to quickly understand project architecture and API surface areas.
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