OpenAGI

OpenAGI is an open-source framework that connects large language models (LLMs) with domain-specific tools, datasets, and expert knowledge to build more capable, task-oriented AI systems. Instead of treating an LLM as a standalone component, OpenAGI orchestrates it as a controller that can call external tools, query APIs, access knowledge bases, and integrate with third-party services to complete complex workflows. The framework provides a modular architecture where developers can register tools as callable functions, define tasks and pipelines, and configure how the LLM selects and sequences these tools based on natural language instructions.

OpenAGI supports multi-step reasoning, tool selection, and result aggregation, enabling applications such as data analysis assistants, research copilots, domain-specific question answering, and automated report generation. It is particularly suited for scenarios where LLMs must interact with structured data, specialized algorithms, or enterprise systems rather than relying solely on text generation.