AI Agent Task Scheduling Simulator
Compare scheduling strategies for multi-agent systems under deadlines, priorities, token budgets, and context switching. See which scheduler ships the most work on time when agent capacity gets tight.
FIFO
Shortest Job First
Priority First
Earliest Deadline
Round Robin
Live Metrics
Current strategy: FIFO
First in, first out. Simple and fair, but it can get trapped behind large jobs while urgent work waits.
Time
0
Completed
0
On Time
0%
Late
0
Queue
0
Token Waste
0
Agent Runtime
Live view of each worker agent and the task it is currently processing.
Race Results
Compare strategies on the exact same workload.
| Strategy | On-Time | Completed | Late | Finish |
|---|---|---|---|---|
| Run “Race All” to compare scheduling algorithms. | ||||
Practical takeaway: the best scheduler depends on your workload. Deadline-heavy agent systems often reward EDF-style scheduling, while throughput-focused queues may benefit from shorter-job bias.