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README.md
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> **Note:** TDAgentTools rely on publicly provided APIs and some of which require API keys. If any of these API keys are revoked, certain tools may not function as intended.
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### Track 3: Agentic Demo Showcase - TDAgent
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TDAgent is an adaptive and interactive AI agent. This agent facilitates a dynamic AI experience, allowing users to switch the LLM used and adjust the system prompt to refine the agent’s behavior and objectives. It uses TDAgentTools to enrich threat data. Explore it here: [TDAgent Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgent).
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- Enable agent autonomy in API interaction and threat assessment.
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- Equip the agent to propose specific incident response actions.
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## Insights & Conclusions
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- **Agent's Autonomy**: Demonstrated autonomous API interactions and data enrichment capabilities.
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> **Note:** TDAgentTools rely on publicly provided APIs and some of which require API keys. If any of these API keys are revoked, certain tools may not function as intended.
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[Track1 Demo link](https://youtu.be/c7Yg_jOD6J0)
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### Track 3: Agentic Demo Showcase - TDAgent
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TDAgent is an adaptive and interactive AI agent. This agent facilitates a dynamic AI experience, allowing users to switch the LLM used and adjust the system prompt to refine the agent’s behavior and objectives. It uses TDAgentTools to enrich threat data. Explore it here: [TDAgent Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgent).
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- Enable agent autonomy in API interaction and threat assessment.
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- Equip the agent to propose specific incident response actions.
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[Track3 Demo link](https://youtu.be/C6Z9EOW-3lE)
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## Insights & Conclusions
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- **Agent's Autonomy**: Demonstrated autonomous API interactions and data enrichment capabilities.
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