Master Supervisor Swarm & Dynamic Subagents
Autonomous multi-agent lead orchestrator decomposing complex multi-part missions, dispatching dynamic on-demand subagents, and guaranteeing zero lost work with state journaling.
Unlike conventional apps built on bloated third-party agent frameworks, VISAR's cognitive swarm was engineered 100% from scratch in pure asynchronous Python. The Master Supervisor autonomously evaluates incoming prompts, generates sub-missions, and executes concurrent child workers across an in-process DAG task hierarchy with instant in-flight steering and crash-resilient state recovery.
- Dynamic Subagent Factory: Spawn specialized on-demand subagents at runtime with scoped tool schemas and isolated state.
- Dedicated Worker Archetypes: Researcher Worker (data synthesis), Coder Worker (code automation), and System Probe Worker (telemetry & OS inspection).
- In-Flight State Journaling: Continuous write-ahead logging ensures complex agent missions resume smoothly after interruptions.
- Asynchronous AgentPool: In-process concurrency governing task state DAGs, recursive child task discovery, and granular single-worker stopping.

Autonomous AI orchestrator decomposing multi-part missions, spawning dynamic subagents on-demand in parallel, and streaming live execution traces with crash-resilient state recovery.





