defaultmodeAGENT is a Python-based framework designed to simplify the creation of intelligent agents that perform multi-step workflows autonomously. It features default-mode planning—an adaptive strategy for deciding when to explore versus exploit—alongside seamless integration of custom tools and APIs. Agents maintain conversational memory, support dynamic prompting, and offer logging for debugging. Built on top of OpenAI’s API, it allows rapid prototyping of assistants for data extraction, research, and task automation.

Matcha Agent provides a flexible foundation for building autonomous agents in Python. Developers can configure agents with custom toolsets (APIs, scripts, databases), manage conversational memory, and orchestrate multi-step workflows across different LLMs (OpenAI, local models, etc.). Its plugin-based architecture allows easy extension, debugging, and monitoring of agent behavior. Whether automating research tasks, data analysis, or customer support, Matcha Agent streamlines end-to-end agent development and deployment.