{
  "_campaign_id": "a2a-ironclaw-v0.6.2-patch2-r29-tls",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-0709",
  "for_c_level": "Low operational risk with full pass on TLS federation; system is production-ready for multi-agent deployments. Customer-facing claims of secure, reliable memory sharing are fully viable. No changes from prior runs, maintaining stability post-patch2.",
  "for_non_technical": "The tests confirmed that AI agents can reliably share and access each other's memories over secure connections. There were no issues, so agents can depend on this system to remember and recall information accurately. This makes the setup trustworthy for everyday use.",
  "for_sme": "All scenarios passed, validating primitives including S1 (basic recall), S10 (delete propagation), S14 (partition recovery), S18 (hybrid recall), S40 (bulk ingest), and S42 (multi-namespace consistency). No failure modes or regressions observed across the 4-node mesh. Root causes not applicable due to clean run.",
  "headline": "All 35 TLS-secured agent memory tests passed in 4-node mesh.",
  "next_run_change": "none \u2014 keep cadence.",
  "verdict": "PASS \u2014 35/35 scenarios green.",
  "what_it_proved": "Results demonstrated consistent, reliable memory sharing and retrieval across agents in a federated 4-node setup with no failures or skips.",
  "what_it_tested": "The campaign exercised 35 scenarios covering TLS transport over HTTP, federation framework, and primitives like recall, delete, linking, recovery, bulk writes, and hybrid search."
}