Agentic AI Systems is a centralized resource on GitHub listing and describing a wide array of open-source agentic AI frameworks and tools. It organizes entries by capabilities, languages, and supported tools, offering direct links to source code, documentation, and quickstart examples. Developers can quickly identify and compare agent platforms, explore sample implementations, and integrate chosen frameworks into their own projects. The repository is regularly updated to include new projects, version changes, and community contributions, making it a go-to index for autonomous AI systems research and prototyping.

ZhipuAI Agent to OpenAI is a specialized agent framework designed to bridge ZhipuAI’s chat completion services with OpenAI-style agent interfaces. It provides a Python SDK that mirrors OpenAI’s function calling paradigm and supports third-party tool integrations, enabling developers to define custom tools, call external APIs, and maintain conversation context across turns. The framework handles request orchestration, dynamic prompt construction, and response parsing, returning structured outputs compatible with OpenAI’s ChatCompletion format. By abstracting API differences, it allows seamless leveraging of ZhipuAI’s Chinese-language models within existing OpenAI-oriented workflows. Ideal for building chatbots, virtual assistants, and automated workflows that require Chinese LLM capabilities without changing established OpenAI-based codebases.