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- Step1: Clone the Local-Super-Agents repository from GitHub.
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- Step2: Install dependencies via pip and set up a Python virtual environment.
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- Step3: Configure your LLM API keys or local model adapters in the config file.
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- Step4: Define agent tasks and behaviors using provided Python templates or YAML.
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- Step5: Add tool integrations and memory modules as needed.
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- Step6: Launch agents using the CLI run command.
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- Step7: Monitor logs, adjust agent policies, and iterate on workflows.