// field notes
These are usage notes from active ShrimpHub controller runs. The numbers come from preserved controller history and agent logs; they show scale, validation loops, recovery patterns, and what the tool is already useful for.
// case note
Chess-2 was built from a design document by an unattended agent swarm. It reached a playable milestone, and the case study includes sanitized broadcast excerpts, the self-healing bug chain, the agent-written knowledge base, and the final QA finding.
// recent activity
A recent preserved window shows sustained multi-project throughput. This was not a benchmark; it was normal use during active development of the controller, prompts, and task types.
// peak day
Recorded tokens in a single day — May 27 — across projects running in parallel.
May 29 is a partial day at time of writing. These are not bursts — the system runs continuously, unattended, across projects with different task queues and priorities.
// agent workload
Across all recorded runs, agent workloads vary significantly. The long tail is where the real work happens.
Across 22,000+ recorded agent runs, the failures looked like real engineering failures: bad fixes, validation loops, rate limits, retries, and noisy test harnesses. We did not find evidence of destructive host-level behavior such as disk wipes, broad filesystem deletion, or agents damaging the machine outside their project workspaces.
— containment evidence from preserved controller logs through May 29, 2026
// project leaderboards
Top projects by agent runs and tokens burned. These are real codebases being actively developed by the system.
"At this scale, prompt engineering stops being the main problem. The main problem becomes workload orchestration — rate limits, retries, validation, dependency repair, logs, and knowing when the work is actually done."
— learned the hard way across 22,759 agent runs
Open source, MIT licensed, and actively evolving. Bring your own inference provider keys, keep projects under version control, and review the work the agents produce.