OpenHarness is a framework for building and orchestrating AI agents that utilize tools and plugins to execute complex tasks. It provides an orchestration system for managing language model lifecycles and a multi-agent coordination system for delegating workloads across teams of specialized subagents.
The project features an agent gateway that bridges language model agents to external chat platforms and communication channels. It includes a tool integration engine for executing shell, file, and web operations, supported by a memory and skill manager that handles persistent user preferences and the on-demand injection of domain-specific knowledge.
The framework incorporates security via path-based access controls and interactive approval workflows for sensitive operations. It also provides a dry-run mode for execution plan inspection, a plugin architecture for custom lifecycle hooks, and a terminal user interface for session management and real-time feedback.