oterm is a terminal client for large language models (LLMs).
In terms of purpose, according to the project repository information, oterm is positioned as a "terminal client for LLMs," primarily aimed at Ollama, while also supporting OpenAI, Anthropic, and any provider supported by pydantic-ai, and supporting MCP servers.
In terms of main capabilities, the materials explicitly mention its compatibility with Ollama, OpenAI, Anthropic, and pydantic-ai-supported providers, as well as support for MCP servers.
In terms of usage, the project description states that complete installation methods, configuration, and usage can be found in the oterm documentation, and updates can be viewed in the CHANGELOG. The repository contains folders and files. Specific installation commands, configuration steps, and operational details are not provided for now.
In terms of applicable scenarios, the materials do not provide specific explanations.
In terms of limitations, the materials do not provide specific explanations.
