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Comprehensive Planungsmodul Tools for Every Need

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

Planungsmodul

  • FreeAct

    FreeAct is an open-source framework enabling autonomous AI agents to plan, reason, and execute actions via LLM-driven modules.
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    What is FreeAct?
    FreeAct leverages a modular architecture to streamline the creation of AI agents. Developers define high-level objectives and configure the planning module to generate stepwise plans. The reasoning component evaluates plan feasibility, while the execution engine orchestrates API calls, database queries, and external tool interactions. Memory management tracks conversation context and historical data, allowing agents to make informed decisions. An environment registry simplifies the integration of custom tools and services, enabling dynamic adaptation. FreeAct supports multiple LLM backends and can be deployed on local servers or cloud environments. Its open-source nature and extensible design facilitate rapid prototyping of intelligent agents for research and production use cases.
    FreeAct Core Features
    • Planning Module
    • Reasoning Engine
    • Execution Engine
    • Memory Management
    • Environment Registry
    • Tool & API Integration
    • LLM Backend Support
    • Extensible Plugin System
    FreeAct Pro & Cons

    The Cons

    Requires familiarity with Python programming to define and use tools effectively.
    May have a steeper learning curve for users not accustomed to coding compared to simpler JSON configurations.
    No explicit pricing or commercial support information available.

    The Pros

    Uses Python code to define actions, allowing more complex and reusable tool integrations.
    Supports any LLM provider via LiteLLM for flexible model usage.
    Enables stateful processing and behavior-rich tool definitions beyond simple JSON.
    Improves success rates of code actions compared to JSON-based methods.

  • LAuRA

    LAuRA is an open-source Python agent framework for automating multi-step workflows via LLM-powered planning, retrieval, tool integration, and execution.
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    What is LAuRA?
    LAuRA streamlines the creation of intelligent AI agents by offering a structured pipeline of planning, retrieval, execution, and memory management modules. Users define complex tasks which LAuRA’s Planner decomposes into actionable steps, the Retriever fetches information from vector databases or APIs, and the Executor invokes external services or tools. A built-in memory system maintains context across interactions, enabling stateful and coherent conversations. With extensible connectors for popular LLMs and vector stores, LAuRA supports rapid prototyping and scaling of custom agents for use cases like document analysis, automated reporting, personalized assistants, and business process automation. Its open-source design fosters community contributions and integration flexibility.
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