Orchestrierungs-Engine

  • Stella provides modular tools for AI agent workflows, memory management, plugin integrations, and custom LLM orchestration.
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    What is Stella Framework?
    Stella Framework empowers developers to build robust AI agents that can maintain context, perform tool-assisted actions, and deliver dynamic conversational experiences. By abstracting the complexities of LLM integrations, Stella offers provider-agnostic adapters for OpenAI, Hugging Face, and self-hosted models. Agents can leverage customizable memory stores to recall user data and conversation history, and plugins enable interactions with external APIs, databases, or services. The built-in orchestration engine manages decision loops, while a concise DSL allows defining actions, tool calls, and response handling. Whether creating customer support bots, research assistants, or workflow automators, Stella provides a scalable foundation for deploying production-grade AI agents.
    Stella Framework Core Features
    • Modular agent architecture
    • Provider-agnostic LLM integrations
    • Short-term and long-term memory management
    • Plugin and external tool integration
    • Built-in orchestration and decision loops
    • Concise DSL for defining actions
  • Agentic-Systems is an open-source Python framework for building modular AI agents with tools, memory, and orchestration features.
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    What is Agentic-Systems?
    Agentic-Systems is designed to streamline the development of sophisticated autonomous AI applications by offering a modular architecture composed of agent, tool, and memory components. Developers can define custom tools that encapsulate external APIs or internal functions, while memory modules retain contextual information across agent iterations. The built-in orchestration engine schedules tasks, resolves dependencies, and manages multi-agent interactions for collaborative workflows. By decoupling agent logic from execution details, the framework enables rapid experimentation, easy scaling, and fine-grained control over agent behavior. Whether prototyping research assistants, automating data pipelines, or deploying decision-support agents, Agentic-Systems provides the necessary abstractions and templates to accelerate end-to-end AI solution development.
  • Thousand Birds is a developer framework enabling AI agents to plan and execute multi-step tasks with plugin integrations.
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    What is Thousand Birds?
    Thousand Birds is an extensible AI agent framework allowing developers to define and configure agent behaviors using a Python SDK and CLI. Agents can plan multi-step workflows, integrate web search, interact with browser sessions, read and write files, call external APIs, and manage stateful memory. It supports plugin modules to add custom tools and data connectors. The built-in orchestration engine schedules tasks, handles retries, and logs execution details. Developers can chain agents, enable parallel execution, and monitor performance through structured outputs. Thousand Birds accelerates deployment of autonomous assistants for research, data extraction, automation, and experimental prototypes.
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