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Comprehensive kooperative Arbeitsabläufe Tools for Every Need

Get access to kooperative Arbeitsabläufe solutions that address multiple requirements. One-stop resources for streamlined workflows.

kooperative Arbeitsabläufe

  • AgentLLM

    AgentLLM is an open-source AI agent framework enabling customizable autonomous agents to plan, execute tasks, and integrate external tools.
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    What is AgentLLM?
    AgentLLM is a web-based AI agent framework that lets users create, configure, and run autonomous agents through a graphical interface or JSON definitions. Agents can plan multi-step workflows by reasoning over tasks, invoke code via Python tools or external APIs, maintain conversation and memory, and adapt based on results. The platform supports OpenAI, Azure, or self-hosted models, offering built-in tool integrations for web search, file handling, mathematical computation, and custom plugins. Designed for experimentation and rapid prototyping, AgentLLM streamlines building intelligent agents capable of automating complex business processes, data analysis, customer support, and personalized recommendations.
    AgentLLM Core Features
    • Visual agent builder with JSON or drag-and-drop
    • Multi-step reasoning and planning
    • Built-in tool integrations (web search, Python, APIs)
    • Support for OpenAI, Azure, or custom/self-hosted models
    • Conversation memory and context management
    • Execution logs and real-time monitoring
    AgentLLM Pro & Cons

    The Cons

    Limited information on potential limitations and scalability issues.
    No detailed documentation or usage examples visible on the main page.
    No visible pricing or enterprise support options.
    May require technical knowledge to fully leverage capabilities.

    The Pros

    Runs locally on the browser, ensuring user privacy and no dependency on external APIs like OpenAI.
    Free to use with no cost involved.
    Open-source project, allowing for community contributions and transparency.
    Easy deployment of autonomous AI agents by writing goals.
    Browser-native which means no installation required.

  • Microsoft AutoGen

    An open-source Python framework for building autonomous AI agents with memory, planning, tool integration, and multi-agent collaboration.
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    What is Microsoft AutoGen?
    Microsoft AutoGen is designed to facilitate the end-to-end development of autonomous AI agents by providing modular components for memory management, task planning, tool integration, and communication. Developers can define custom tools with structured schemas and connect to major LLM providers such as OpenAI and Azure OpenAI. The framework supports both single-agent and multi-agent orchestration, enabling collaborative workflows where agents coordinate to complete complex tasks. Its plug-and-play architecture allows easy extension with new memory stores, planning strategies, and communication protocols. By abstracting the low-level integration details, AutoGen accelerates prototyping and deployment of AI-driven applications across domains like customer support, data analysis, and process automation.
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