agents
Basic Information
This repository is a collection of experimental AI agent implementations and personal explorations in agent development. It provides toy example agents that demonstrate agentic programming concepts such as conversational behavior and retrieval-augmented research workflows. The project uses a lightweight environment and dependency workflow managed with uv and expects local environment variables for model endpoints, API keys, embedding model names and a local database directory. Included examples are a conversational Therapist agent that maintains memories across sessions and a Startup Researcher that queries a search API and generates markdown outputs. The README includes quick start instructions, example run commands, and guidance for configuring credentials and model names in a local .env file.