hive

Why we included this project

Most agent frameworks stall at demo grade; Hive is aimed at teams whose agents need to carry real business processes. Instead of hand-wiring orchestrations, you state an objective and the runtime compiles a graph-based execution plan that coordinates specialized agents across parallel tasks, backed by persistent, role-based memory. The harness around the models is where the value sits: state persistence with crash recovery, cost enforcement, observability and audit trails, human-in-the-loop checkpoints, and self-healing behavior that reshapes the execution graph when a step fails. It works with OpenAI, Anthropic, and Gemini, and connects to business systems like a CRM or internal APIs through MCP tools. For teams deciding whether to build their own agent runtime, it is worth evaluating when uptime and cost control are the constraints that actually matter.