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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.

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1

spy-debugger

WeChat debugging, WebView style debugging, and real-machine debugging

...Remote debugging of any mobile phone browser page, any mobile terminal webview (such as WeChat, HybridApp, etc.) Keep the phone and PC under the same network (for example, connect to the same Wi-Fi at the same time). Enter the command line spy-debugger, follow the command line prompt to open the corresponding address with a browser. Set the HTTP proxy of the mobile phone, the proxy IP address is set to the PC's IP address, and the port is spy-debuggerthe startup port (default port: 9888), and then, install the certificate on the mobile phone. Use the mobile browser to visit the page you want to debug.

Downloads: 0 This Week

Last Update: 2021-09-20
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2

z-utalm

Unified Test and Logging layer for multiple programming languages

Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development,...

Downloads: 0 This Week

Last Update: 2019-12-22
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