Engage in intelligent chats using the NCTC OSINT AGENT
llama.cpp server hosting a reasoning model CPU only.
customizable ChatBot API + UI
Interact with an AI therapist that analyzes text and voice emotions, and responds with text-to-speech
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Chat with a conversational AI
Chat with a helpful assistant
Talk to a language model
Ask questions about PDF documents
Interact with PDFs using a chatbot that understands text and images
Meta-Llama-3.1-8B-Instruct
Engage in conversations with a multilingual language model
The NCTC OSINT AGENT is an advanced AI tool designed to assist users in gathering and analyzing open-source intelligence (OSINT) effectively. It is categorized under Chatbots and specializes in engaging in intelligent conversations while providing real-time data collection and analysis capabilities. This tool is built to support users in extracting valuable insights from publicly available information across various sources.
• Real-Time Data Collection: Gather live data from multiple sources to stay updated.
• Advanced Search Capabilities: Utilize refined filters to pinpoint specific information quickly.
• Cross-Platform Compatibility: Operate seamlessly across different devices and environments.
• Multiple Language Support: Process and analyze data in various languages.
• Data Filtering and Sorting: Organize results based on relevance, date, or keyword.
• Export Options: Save or share findings in formats like CSV, PDF, or JSON for further analysis.
• AI-Powered Insights: Generate intelligent summaries and visualizations from raw data.
What sources does NCTC OSINT AGENT pull data from?
The tool gathers data from publicly available sources, including social media platforms, forums, blogs, and official websites.
Can NCTC OSINT AGENT provide real-time data?
Yes, the tool is designed to deliver real-time insights, ensuring you receive the most up-to-date information.
Is NCTC OSINT AGENT available in multiple languages?
Yes, it supports multiple languages, enabling users to analyze data from global sources effectively.