Agent Framework
An agent framework provides the architectural foundation and tooling needed to build, orchestrate, and manage autonomous AI agents capable of performing complex, multi-step tasks. It supports core functions such as planning, tool use, memory, state management, coordination between multiple agents, and execution monitoring, enabling scalable and reliable agent-driven workflows.
Why it Matters:
It allows organizations to create modular, intelligent agents that can analyze data, plan actions, and collaborate with other systems or humans.
QAT Global can use frameworks such as LangChain, Semantic Kernel, and AutoGen to build scalable, agentic ecosystems for clients. IT Staffing services support teams needing AI engineers who understand orchestration, API integration, and workflow autonomy.
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