See how AI agents think, work, and learn. Essential visibility for optimizing your autonomous development system.
See tasks move from creation to completion. Identify bottlenecks, optimize agent allocation, and ensure nothing gets stuck.
# Real-time task monitoring
- Task queue depth
- Agent utilization rates
- Completion velocity
- Blocker patterns
Understand why agents request specific tasks, how they report progress, and when they encounter blockers. Full transparency.
# Agent insights
- Task selection reasoning
- Progress patterns
- Blocker frequency
- Success rates by task type
Rich metrics for researchers and developers. Export data for analysis, identify improvement opportunities, train better agents.
# Analytics available
- Task completion times
- Agent specialization emergence
- Learning curve visualization
- System throughput metrics
Seneca automatically finds your Marcus instances. No setup, no configuration files. Start monitoring in seconds, not hours.
How discovery works →Every decision, every task, every outcome—captured for analysis. Export to your favorite tools. Perfect for papers and optimization.
Data processing →