What is hive-concepts?
Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals. Source: adenhq/hive.
Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.
Quickly install hive-concepts AI skill to your development environment via command line
Source: adenhq/hive.
Foundational knowledge for building goal-driven agents as Python packages.
| clientfacing | False | If True, streams output to user and blocks for input between turns | | nullableoutputkeys | [] | Output keys that may remain unset (for mutually exclusive outputs) | | maxnodevisits | 1 | Max times this node executes per run. Set >1 for feedback loop targets |
Priority controls evaluation order when multiple edges leave the same node. Higher priority edges are evaluated first. Use negative priority for feedback edges (edges that loop back to earlier nodes).
Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals. Source: adenhq/hive.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/adenhq/hive --skill hive-conceptsCore concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals. Source: adenhq/hive.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adenhq/hive --skill hive-concepts Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/adenhq/hive