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  • 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
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