Ready to implement AI with confidence (without sacrificing security)?
Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
Start building today
Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
Mathematical expression parser and evaluator for .NET
Moved to https://github.com/alxnull/calcex
Calcex is a simple math parser for .NET to evaluate mathematical expressions which is developed in C#.
It supports many common mathematical operations and functions and allows the user to add custom functions and variables. It is possible to evaluate double or decimal values for high precision. Calcex also includes functions for converting numbers from decimal to binary or other bases.
The project includes a simple calculator and...
This project attempts to do two things. First, it provides bindings to the OpenCL API that mirror the OpenCL 1.1 spec as closely as possible. (Preliminary OpenCL 1.2 support is available in SVN)Second, it provides a higher level abstraction of the API that's more .Net-like.