| # | Role | Agent ID | Public IP | Private IP |
|---|---|---|---|---|
| 1 | agent | ai:alice | 161.35.129.171 | 10.10.2.5 |
| 2 | agent | ai:bob | 165.227.117.248 | 10.10.2.3 |
| 3 | agent | ai:charlie | 138.197.39.223 | 10.10.2.4 |
| 4 | memory-only | — | 167.71.80.109 | 10.10.2.2 |
Run focus
What this campaign tested: The run requested 30 scenarios covering transport protocols, framework integrations, and memory primitives in a 4-node DigitalOcean federation mesh, but executed none due to reporting failure.
What it demonstrated: The testing infrastructure failed to capture or retrieve any scenario results, demonstrating a critical gap in CI/CD reliability rather than AI memory functionality.
AI NHI analysis · Claude Opus 4.7
FAIL — no scenario reports recovered
This test run aimed to check if AI agents can reliably share memories across a network, but it didn't work because no results were recorded. We couldn't verify if the memory sharing is dependable. It's like trying to review a test but finding the entire exam blank.
This run exposes high risk in the CI pipeline, as no scenario data was recovered, blocking assessment of production readiness for v0.6.3.1. Customer claims on reliable agent memory sharing remain unviable without fixes. Compared to prior runs, this represents a regression in test harness stability, not core functionality.
No individual scenario results available; the failure mode is total absence of reports despite 30 scenarios requested (S1, S1b, S2, S4-S6, S9-S18, S22-S25, S28-S42). Probable root cause is a bug in the reporting mechanism or CI artifact collection in the harness (SHA c921625b2984abd1a6a23ce502ad436f2e49e320). No primitives or transports were actually exercised or impacted.
Fix the CI reporting pipeline to ensure scenario results are captured and archived before the next campaign.