AI Agent
Built a suite of AI agents using Strands SDK and Ollama, including a conversational chatbot, tool-enabled assistant, memory agent, and MCP-powered agent. Implemented calculator, weather, age prediction, text processing, and persistent memory features using JSON and FAISS. Enabled context-aware conversations, intelligent tool selection, memory recall across sessions, and local LLM orchestration, demonstrating practical agentic AI, MCP integration, and autonomous workflow execution.
I successfully designed and developed a collection of AI-powered agents using Strands SDK and Ollama (Llama 3.2) to explore modern agentic AI architectures. The project includes a conversational chatbot, a tool-calling assistant, a persistent memory agent, and an MCP-integrated agent capable of interacting with custom tools.
Key features implemented include:
- Natural language conversations with local LLMs
- Dynamic tool selection and execution
- Calculator, weather, age prediction, word count, and string processing tools
- Persistent memory using JSON and FAISS for context retention across sessions
- User preference and fact recall capabilities
- MCP (Model Context Protocol) integration for external tool orchestration
- Local-first deployment without reliance on cloud AI services
This project demonstrates practical applications of AI agents, memory management, tool integration, autonomous workflows, and LLM orchestration while showcasing how intelligent assistants can perform tasks, retain context, and provide personalized interactions.
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