Advanced Planung und Ausführung Tools for Professionals

Discover cutting-edge Planung und Ausführung tools built for intricate workflows. Perfect for experienced users and complex projects.

Planung und Ausführung

  • A Python framework for building modular AI agents with memory, planning, and tool integration.
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    What is Linguistic Agent System?
    Linguistic Agent System is an open-source Python framework designed for constructing intelligent agents that leverage language models to plan and execute tasks. It includes components for memory management, tool registry, planner, and executor, allowing agents to maintain context, call external APIs, perform web searches, and automate workflows. Configurable via YAML, it supports multiple LLM providers, enabling rapid prototyping of chatbots, content summarizers, and autonomous assistants. Developers can extend functionality by creating custom tools and memory backends, deploying agents locally or on servers.
  • MIDCA is an open-source cognitive architecture enabling AI agents with perception, planning, execution, metacognitive learning, and goal management.
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    What is MIDCA?
    MIDCA is a modular cognitive architecture designed to support the full cognitive loop of intelligent agents. It processes sensory inputs through a perception module, interprets data to generate and prioritize goals, leverages a planner to create action sequences, executes tasks, and then evaluates outcomes through a metacognitive layer. The dual-cycle design separates fast reactive responses from slower deliberative reasoning, enabling agents to adapt dynamically. MIDCA’s extensible framework and open-source codebase make it ideal for researchers and developers exploring autonomous decision-making, learning, and self-reflection in AI agents.
  • A modular Python framework to build autonomous AI agents with LLM-driven planning, memory management, and tool integration.
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    What is AI-Agents?
    AI-Agents provides a flexible agent architecture that orchestrates language model planners, persistent memory modules, and pluggable toolkits. Developers define tools for HTTP requests, file operations, and custom logic, then configure an LLM planner to decide which tool to invoke. Memory stores context and conversation history. The framework handles asynchronous execution, error recovery, and logging, enabling rapid prototyping of intelligent assistants, data analyzers, or automation bots without reinventing core orchestration logic.
  • Effortlessly manage construction specs for designers and builders.
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    What is BuildAspect?
    BuildAspect streamlines the management of construction specifications, allowing users to easily create, share, and track project-related documents. With features tailored for both designers and builders, it promotes clear communication and minimizes misunderstandings. The platform offers tools for version control, project tracking, and customized templates to ensure that all team members are on the same page, enhancing productivity and reducing errors in the construction process.
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