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Comprehensive multi-step execution Tools for Every Need

Get access to multi-step execution solutions that address multiple requirements. One-stop resources for streamlined workflows.

multi-step execution

  • Agno AI Agent

    An open-source Python framework that builds autonomous AI agents with LLM planning and tool orchestration.
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    What is Agno AI Agent?
    Agno AI Agent is designed to help developers quickly build autonomous agents powered by large language models. It provides a modular tool registry, memory management, planning and execution loops, and seamless integration with external APIs (such as web search, file systems, and databases). Users can define custom tool interfaces, configure agent personalities, and orchestrate complex, multi-step workflows. Agents can plan tasks, call tools dynamically, and learn from previous interactions to improve performance over time.
    Agno AI Agent Core Features
    • LLM integration (OpenAI, Azure, etc.)
    • Dynamic multi-step planning and execution
    • Modular tool registry and invocation
    • In-memory and file-based memory management
    • Customizable agent personalities and prompts
    • Extensible plugin architecture

  • browse-for-me

    An AI agent automates web browsing tasks, data extraction, and content summarization using Puppeteer and OpenAI API.
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    What is browse-for-me?
    browse-for-me leverages headless Chromium via Puppeteer controlled by OpenAI models to interpret user-defined instructions. Users create configuration files specifying target URLs, actions like clicking, form submission, and data points for extraction. The agent executes each step autonomously, handles errors with retries, and returns structured JSON or plain-text summaries. With support for multi-step sequences, scheduling, and environment variables, it streamlines tasks like web scraping, site monitoring, automated testing, and content summarization.

  • MixAgent

    Modular AI agent framework orchestrating LLM planning, tool usage, and memory management for autonomous task execution.
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    What is MixAgent?
    MixAgent provides a plug-and-play architecture that lets developers define prompts, connect multiple LLM backends, and incorporate external tools (APIs, databases, or code). It orchestrates planning and execution loops, manages agent memory for stateful interactions, and logs chain-of-thought reasoning. Users can quickly prototype assistants, data fetchers, or automation bots without building orchestration layers from scratch, accelerating AI agent deployment.
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