Largefile
Empowers AI assistants to navigate, search, and edit files of any size, bypassing LLM context window limitations.
About
Largefile is a local MCP server designed to overcome the context window limitations of Large Language Models (LLMs) when processing extensive files. It enables AI assistants to interact with extremely large codebases, log files, documentation, and datasets by providing targeted access to specific content without loading the entire file into memory. Through core tools for overview generation, content searching, precise reading, and robust search/replace editing, Largefile ensures efficient and error-resistant file manipulation for AI-driven workflows.
Key Features
- Search/replace primary for precise editing
- Memory-efficient handling for files of any size (streaming, mmap, memory)
- Fuzzy matching for flexible content search
- Semantic awareness via Tree-sitter integration for code structure
- 1 GitHub stars
- Atomic operations with automatic backups for file integrity
Use Cases
- Analyzing and refactoring large codebases
- Debugging and exploring extensive log files
- Interacting with voluminous documentation and API references
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