autonomous-planning

Multi-agent coordination is automated by analyzing user intent, querying a dynamic capability tree to select appropriate sub-agents, generating action sequences, handling approvals, and executing actions with automated outcome verification.

Autonomous planning is an end-to-end execution pipeline that decomposes complex multi-step tasks into orchestrated sub-tasks, spanning dynamic capability queries, plan generation, execution, and result verification across coding and automation scenarios.

An end-to-end planning pipeline executes by analyzing intent, generating an action sequence, routing through automatic approvals, orchestrating sub-agent execution, and verifying results to complete complex workflows with minimal human intervention.

Autonomous planning supports multi-modal orchestration by scaling across multi-step tasks for coding, automation, and visual or command-line workflows, utilizing integrated sub-agents selected via dynamic capability tree querying.

A capability tree is needed when decomposing complex workflows that require multi-agent coordination, allowing the planning pipeline to dynamically query and select the appropriate sub-agents and tools for each specific action sequence.