Cyber Researcher

A conversational AI research assistant powered by LangChain and DeepAgents, designed to perform detailed, structured research on any given topic using internet search and computational tools.

Features

• Smart Query Analysis: Breaks down complex research questions into actionable components.
• Real-time Web Search: Uses the internet_search tool to fetch up-to-date, accurate information.
• Mathematical Computation: Supports symbolic math operations including differentiation, integration, equation solving, and matrix calculations.
• Time Utilities: Access to current datetime, timestamp conversion, and formatting.
• Structured Output: Generates well-organized reports with sections like Overview, Key Features, Use Cases, and Recent Developments.

Currently Supported Tools

Web & Data

• internet_search(query: str) – Performs a real-time web search using precise queries.
• crawl_url(url: str) – Crawls a URL and extracts text content based on a URL.

Date & Time

• get_current_datetime() – Returns the current date and time.
• get_current_timestamp() – Returns the current Unix timestamp.
• convert_timestamp_to_datetime(timestamp: int) – Converts Unix timestamp to readable datetime.

Symbolic Mathematics

• differentiate(expression, variable) – Differentiates a mathematical expression.
• integrate_expression(expression, variable) – Computes indefinite or definite integrals.
• solve_equation(equation, variable) – Solves algebraic equations symbolically.
• matrix_operation(matrix_a, matrix_b, operation) – Performs matrix addition, multiplication, inversion, etc.
• preprocess_math(input_str) – Cleans and parses math expressions from natural language.
• calculate(expression) – Evaluates basic arithmetic or symbolic expressions.

Usage

Run the agent and ask research-oriented questions:

docker build -t cyber-researcher .

docker run -it cyber-researcher

Example prompts:

"Compare React and Svelte for modern web development"
"What are the recent advancements in quantum computing?"
"Solve the differential equation dy/dx = x^2 + y"

The agent will use available tools to gather and synthesize accurate, cited insights.

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Built with langgraph, langchain, and extensible tooling for deep, reliable research workflows.