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Comprehensive Agentenlernen Tools for Every Need

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

Agentenlernen

  • Modus

    A JavaScript framework to build AI agents with dynamic tool integration, memory, and workflow orchestration.
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    What is Modus?
    Modus is a developer-focused framework that simplifies the creation of AI agents by providing core components for LLM integration, memory storage, and tool orchestration. It supports plugin-based tool libraries, enabling agents to perform tasks like data retrieval, analysis, and action execution. With built-in memory modules, agents can maintain conversational context and learn over interactions. Its extensible architecture accelerates AI development and deployment across various applications.
    Modus Core Features
    • LLM integration
    • Plugin-based tool orchestration
    • Persistent memory modules
    • Workflow automation
    • Extensible architecture
    Modus Pro & Cons

    The Cons

    Requires familiarity with Go or AssemblyScript languages, which may have a learning curve
    Lacks direct pricing details outside the documentation link
    Potential complexity in setup and deployment for beginners

    The Pros

    Open source framework enabling customization and community contributions
    Serverless and edge-optimized with WebAssembly for high performance and scalability
    Supports both stateless functions and stateful AI agents with persistent memory
    Includes knowledge graphs for scalable context and organizational memory
    Built-in observability and secure-by-default authorization
    Supports multiple languages (Go and AssemblyScript) for flexible development

  • 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.
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