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Single-agent assistant platform for customer-facing deployments. Architecture: Customer-facing assistants; configured via YAML/UI, external vector databases. Best suited: Customer-facing single-agent assistants configured via YAML/UI. Watch out: Single-agent focus; not built for complex multi-agent orchestration.
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
SuperAgent is a framework for building AI agents that execute tasks with language models, tools, and workflows.
SuperAgent emerged as an open-source project by Superagent AI from the need to integrate language models into application-oriented agents with tools and traceable workflows.
An agent configuration connects a language model with prompts, tools, and memory. The agent interprets a task, plans intermediate steps, and calls suitable tools through the defined workflow.
A model handles a task across multiple processing steps.
External functions expand what the agent can execute.
Configurations determine how tasks are processed.
SuperAgent supports prototypes and applications where language models should work with tools and data in a controlled way.
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