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Comprehensive modular AI agents Tools for Every Need

Get access to modular AI agents solutions that address multiple requirements. One-stop resources for streamlined workflows.

modular AI agents

  • Multi-Agent LLM Recipe Prices

    Multi-Agent LLM Recipe Prices estimates recipe costs by parsing ingredients, fetching market prices, and converting currency seamlessly.
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    What is Multi-Agent LLM Recipe Prices?
    Multi-Agent LLM Recipe Prices orchestrates a suite of specialized AI agents to break down recipes into ingredients, query external price databases or APIs for real-time market rates, perform unit conversions, and sum up total costs by currency. Built in Python, it uses a recipe parsing agent to extract items, a price lookup agent to fetch current prices, and a currency conversion agent to handle international pricing. The framework logs each step, supports plugin extensions for new data providers, and outputs detailed cost breakdowns in JSON or CSV formats for further analysis.

  • Summative Info Researcher Agents

    AI agents automating web research, data gathering, and summarization across multiple sources with customizable workflows.
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    What is Summative Info Researcher Agents?
    Summative Info Researcher Agents offers a modular framework of AI-driven agents designed to perform end-to-end research tasks. It automates web searches, scrapes content, extracts relevant data points, and synthesizes findings into clear, structured summaries. Built atop popular LLMs and extensible via plugin tools, the project allows users to define multi-step workflows, chain agents together, and adjust settings for domain-specific queries. Its flexible architecture supports integration with custom APIs, database connectors, and scheduling systems to fit academic, business, or personal research needs.

  • AgentVest

    Autonomous AI agent framework streamlines financial portfolio analysis, strategy generation, risk management, and automated trading.
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    What is AgentVest?
    AgentVest provides a collection of AI-driven agents that collaborate to manage investment portfolios. The DataCollector Agent ingests real-time market data from multiple sources, StrategyGenerator leverages GPT models to propose trading strategies, RiskManager evaluates strategy robustness under various scenarios, and TradeExecutor interfaces with brokerage APIs to perform trades. The framework includes memory management, tool integration, and backtesting modules, allowing developers to build, test, and deploy autonomous investment workflows.
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