Create optimized web search queries tailored to specific research tasks, using structured strategies and advanced techniques to enhance information retrieval efficiency for AI agents.
Process large files efficiently by streaming them in manageable chunks without loading entire files into memory, enabling step-by-step handling of oversized data.
Test web applications for Cross-Site Request Forgery vulnerabilities using multiple techniques including token bypass and method manipulation to identify security weaknesses.
Test web applications for Cross-Site Request Forgery vulnerabilities using multiple techniques including token bypass and method manipulation to identify security weaknesses.
Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.
A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.