../ runs index

Campaign a2a-ironclaw-v0.6.3.1-r4 FAIL

Agent group
ironclaw (homogeneous)
ai-memory ref
v0.6.3.1
Completed at
2026-05-01T17:38:02Z
Overall pass
false
Skipped reports
0

Infrastructure

Provider
digitalocean
Region
nyc3
Droplet size
s-2vcpu-4gb
Topology
4-node federation mesh (W=2/N=4)
Scenarios started
Scenarios ended
Dispatched by
alphaonedev
Harness SHA
ec93ea6d988f
Workflow run
https://github.com/alphaonedev/ai-memory-a2a-v0.6.3.1/actions/runs/25224497189

Node roster

#RoleAgent IDPublic IPPrivate IP
1agentai:alice159.89.46.5410.10.2.2
2agentai:bob143.198.9.25510.10.2.5
3agentai:charlie167.71.90.7010.10.2.3
4memory-only159.65.163.17110.10.2.4

Baseline attestation BASELINE OK

Per the authoritative baseline spec, every agent node must emit a self-attestation before any scenario is permitted to run. This run's attestation:

Spec version: 1.4.0 — see authoritative baseline.

NodeAgentFrameworkAuthenticMCP ai-memoryxAI cfgxAI defaultAgent IDFederationUFW offiptablesdead-manF1 xAIF2a substrateF2b agent (non-gating)Config SHAPass
node-1ai:aliceironclaw ironclaw 0.27.0f60860315da7PASS
node-2ai:bobironclaw ironclaw 0.27.0012ee169c3cePASS
node-3ai:charlieironclaw ironclaw 0.27.0b2f3f9b960ffPASS
a2a-baseline.json
{
	"baseline_pass": true,
	"per_node": [
		{
			"spec_version": "1.4.0",
			"agent_type": "ironclaw",
			"agent_id": "ai:alice",
			"node_index": "1",
			"framework_version": "ironclaw 0.27.0",
			"ai_memory_version": "0.6.3.1",
			"peer_urls": "https://10.10.2.5:9077,https://10.10.2.3:9077,https://10.10.2.4:9077",
			"config_file_sha256": "f60860315da703cbbbdfc611ea97da168286371763e1c57a8d215633a11ab939",
			"config_attestation": {
				"framework_is_authentic": true,
				"mcp_server_ai_memory_registered": true,
				"llm_backend_is_xai_grok": true,
				"llm_is_default_provider": true,
				"mcp_command_is_ai_memory": true,
				"agent_id_stamped": true,
				"federation_live": true,
				"ufw_disabled": true,
				"iptables_flushed": true,
				"dead_man_switch_scheduled": true
			},
			"negative_invariants": {
				"_description": "Alternative A2A channels must be OFF so a passing scenario is only passing via ai-memory shared memory. Any true here = thesis-preserving.",
				"a2a_protocol_off": true,
				"sub_agent_or_sessions_spawn_off": true,
				"alternative_channels_off": true,
				"tool_allowlist_is_memory_only": true,
				"a2a_gate_profile_locked": true
			},
			"functional_probes": {
				"xai_grok_chat_reachable": true,
				"xai_grok_sample_reply": "READY",
				"substrate_http_canary_f2a": true,
				"substrate_http_canary_uuid": "170543d0-06d6-449e-920f-0c64b9fda2ca",
				"agent_mcp_canary_f2b": false,
				"agent_mcp_canary_uuid": "c994c847-d4a8-4f56-814d-77462320c21f",
				"agent_canary_response_head": "error: unrecognized subcommand 'chat'    tip: a similar subcommand exists: 'channels'  Usage: ironclaw [OPTIONS] [COMMAND]  For more information, try '--help'. ",
				"_f2b_note": "F2b is LLM-dependent and non-blocking. F2a (deterministic HTTP substrate) gates baseline_pass.",
				"mesh_connectivity_f4": true,
				"mesh_edges_ok": 3,
				"mesh_edges_total": 3,
				"mesh_edges_detail": "10.10.2.5:9077:OK,10.10.2.3:9077:OK,10.10.2.4:9077:OK",
				"_f4_note": "F4 verifies this local nodes N-1 OUTBOUND mesh edges to every peer via both GET health and POST sync_push dry_run. Aggregator ANDs across N nodes to confirm full N*(N-1) bidirectional reachability. Gates baseline_pass.",
				"ai_memory_mcp_stdio_f5": true,
				"ai_memory_mcp_stdio_init_ok": true,
				"ai_memory_mcp_stdio_tools_ok": true,
				"ai_memory_mcp_stdio_tools_found": "memory_agent_list,memory_agent_register,memory_archive_list,memory_archive_purge,memory_archive_restore,memory_archive_stats,memory_auto_tag,memory_capabilities,memory_check_duplicate,memory_consolidate,memory_delete,memory_detect_contradiction,memory_entity_get_by_alias,memory_entity_register,memory_expand_query,memory_forget,memory_gc,memory_get,memory_get_links,memory_get_taxonomy,memory_inbox,memory_kg_invalidate,memory_kg_query,memory_kg_timeline,memory_link,memory_list,memory_list_subscriptions,memory_namespace_clear_standard,memory_namespace_get_standard,memory_namespace_set_standard,memory_notify,memory_pending_approve,memory_pending_list,memory_pending_reject,memory_promote,memory_recall,memory_search,memory_session_start,memory_stats,memory_store,memory_subscribe,memory_unsubscribe,memory_update",
				"_f5_note": "F5 spawns the ai-memory stdio MCP subprocess using the framework-configured invocation and verifies initialize + tools/list return memory_store, memory_recall, memory_list. Deterministic (no LLM). Gates baseline_pass.",
				"tls_mode": "mtls",
				"tls_handshake_f6": true,
				"tls_handshake_f6_reason": "",
				"mtls_enforcement_f7": true,
				"mtls_enforcement_f7_reason": "",
				"_f6_f7_note": "F6 verifies the TLS 1.3 handshake against the local serve + CA chain. F7 verifies mTLS enforcement — anonymous client rejected, whitelisted client accepted. Both gate baseline_pass when tls_mode != off / mtls respectively.",
				"embedder_loaded_f8": true,
				"embedder_loaded_f8_reason": "",
				"_f8_note": "F8 verifies /api/v1/capabilities reports features.embedder_loaded=true — i.e. the MiniLM embedder initialised at serve startup. Gates baseline_pass unconditionally. Without this, scenario-18 silently black-holes (semantic recall returns 0 rows).",
				"agent_mcp_ai_memory_canary": true,
				"canary_uuid": "170543d0-06d6-449e-920f-0c64b9fda2ca",
				"canary_namespace": "_baseline_canary_f2a"
			},
			"baseline_pass": true
		},
		{
			"spec_version": "1.4.0",
			"agent_type": "ironclaw",
			"agent_id": "ai:bob",
			"node_index": "2",
			"framework_version": "ironclaw 0.27.0",
			"ai_memory_version": "0.6.3.1",
			"peer_urls": "https://10.10.2.2:9077,https://10.10.2.3:9077,https://10.10.2.4:9077",
			"config_file_sha256": "012ee169c3ce6c4fb31187beaf04d318ea56d7340f2486a6a88e20f0302d0bd1",
			"config_attestation": {
				"framework_is_authentic": true,
				"mcp_server_ai_memory_registered": true,
				"llm_backend_is_xai_grok": true,
				"llm_is_default_provider": true,
				"mcp_command_is_ai_memory": true,
				"agent_id_stamped": true,
				"federation_live": true,
				"ufw_disabled": true,
				"iptables_flushed": true,
				"dead_man_switch_scheduled": true
			},
			"negative_invariants": {
				"_description": "Alternative A2A channels must be OFF so a passing scenario is only passing via ai-memory shared memory. Any true here = thesis-preserving.",
				"a2a_protocol_off": true,
				"sub_agent_or_sessions_spawn_off": true,
				"alternative_channels_off": true,
				"tool_allowlist_is_memory_only": true,
				"a2a_gate_profile_locked": true
			},
			"functional_probes": {
				"xai_grok_chat_reachable": true,
				"xai_grok_sample_reply": "READY",
				"substrate_http_canary_f2a": true,
				"substrate_http_canary_uuid": "1499af23-42b7-4a59-ae59-2c9c6476d850",
				"agent_mcp_canary_f2b": false,
				"agent_mcp_canary_uuid": "68926bbe-73f4-49f9-b545-89fc5f210b66",
				"agent_canary_response_head": "error: unrecognized subcommand 'chat'    tip: a similar subcommand exists: 'channels'  Usage: ironclaw [OPTIONS] [COMMAND]  For more information, try '--help'. ",
				"_f2b_note": "F2b is LLM-dependent and non-blocking. F2a (deterministic HTTP substrate) gates baseline_pass.",
				"mesh_connectivity_f4": true,
				"mesh_edges_ok": 3,
				"mesh_edges_total": 3,
				"mesh_edges_detail": "10.10.2.2:9077:OK,10.10.2.3:9077:OK,10.10.2.4:9077:OK",
				"_f4_note": "F4 verifies this local nodes N-1 OUTBOUND mesh edges to every peer via both GET health and POST sync_push dry_run. Aggregator ANDs across N nodes to confirm full N*(N-1) bidirectional reachability. Gates baseline_pass.",
				"ai_memory_mcp_stdio_f5": true,
				"ai_memory_mcp_stdio_init_ok": true,
				"ai_memory_mcp_stdio_tools_ok": true,
				"ai_memory_mcp_stdio_tools_found": "memory_agent_list,memory_agent_register,memory_archive_list,memory_archive_purge,memory_archive_restore,memory_archive_stats,memory_auto_tag,memory_capabilities,memory_check_duplicate,memory_consolidate,memory_delete,memory_detect_contradiction,memory_entity_get_by_alias,memory_entity_register,memory_expand_query,memory_forget,memory_gc,memory_get,memory_get_links,memory_get_taxonomy,memory_inbox,memory_kg_invalidate,memory_kg_query,memory_kg_timeline,memory_link,memory_list,memory_list_subscriptions,memory_namespace_clear_standard,memory_namespace_get_standard,memory_namespace_set_standard,memory_notify,memory_pending_approve,memory_pending_list,memory_pending_reject,memory_promote,memory_recall,memory_search,memory_session_start,memory_stats,memory_store,memory_subscribe,memory_unsubscribe,memory_update",
				"_f5_note": "F5 spawns the ai-memory stdio MCP subprocess using the framework-configured invocation and verifies initialize + tools/list return memory_store, memory_recall, memory_list. Deterministic (no LLM). Gates baseline_pass.",
				"tls_mode": "mtls",
				"tls_handshake_f6": true,
				"tls_handshake_f6_reason": "",
				"mtls_enforcement_f7": true,
				"mtls_enforcement_f7_reason": "",
				"_f6_f7_note": "F6 verifies the TLS 1.3 handshake against the local serve + CA chain. F7 verifies mTLS enforcement — anonymous client rejected, whitelisted client accepted. Both gate baseline_pass when tls_mode != off / mtls respectively.",
				"embedder_loaded_f8": true,
				"embedder_loaded_f8_reason": "",
				"_f8_note": "F8 verifies /api/v1/capabilities reports features.embedder_loaded=true — i.e. the MiniLM embedder initialised at serve startup. Gates baseline_pass unconditionally. Without this, scenario-18 silently black-holes (semantic recall returns 0 rows).",
				"agent_mcp_ai_memory_canary": true,
				"canary_uuid": "1499af23-42b7-4a59-ae59-2c9c6476d850",
				"canary_namespace": "_baseline_canary_f2a"
			},
			"baseline_pass": true
		},
		{
			"spec_version": "1.4.0",
			"agent_type": "ironclaw",
			"agent_id": "ai:charlie",
			"node_index": "3",
			"framework_version": "ironclaw 0.27.0",
			"ai_memory_version": "0.6.3.1",
			"peer_urls": "https://10.10.2.2:9077,https://10.10.2.5:9077,https://10.10.2.4:9077",
			"config_file_sha256": "b2f3f9b960ff613a8f194b52000cc90ea9f1d9283b69933cffb1798f06d2a588",
			"config_attestation": {
				"framework_is_authentic": true,
				"mcp_server_ai_memory_registered": true,
				"llm_backend_is_xai_grok": true,
				"llm_is_default_provider": true,
				"mcp_command_is_ai_memory": true,
				"agent_id_stamped": true,
				"federation_live": true,
				"ufw_disabled": true,
				"iptables_flushed": true,
				"dead_man_switch_scheduled": true
			},
			"negative_invariants": {
				"_description": "Alternative A2A channels must be OFF so a passing scenario is only passing via ai-memory shared memory. Any true here = thesis-preserving.",
				"a2a_protocol_off": true,
				"sub_agent_or_sessions_spawn_off": true,
				"alternative_channels_off": true,
				"tool_allowlist_is_memory_only": true,
				"a2a_gate_profile_locked": true
			},
			"functional_probes": {
				"xai_grok_chat_reachable": true,
				"xai_grok_sample_reply": "READY",
				"substrate_http_canary_f2a": true,
				"substrate_http_canary_uuid": "1fd64d74-5387-4881-9c12-f5cedfddd9a1",
				"agent_mcp_canary_f2b": false,
				"agent_mcp_canary_uuid": "96e869d7-9484-4dc2-89f1-a6d291a15c2e",
				"agent_canary_response_head": "error: unrecognized subcommand 'chat'    tip: a similar subcommand exists: 'channels'  Usage: ironclaw [OPTIONS] [COMMAND]  For more information, try '--help'. ",
				"_f2b_note": "F2b is LLM-dependent and non-blocking. F2a (deterministic HTTP substrate) gates baseline_pass.",
				"mesh_connectivity_f4": true,
				"mesh_edges_ok": 3,
				"mesh_edges_total": 3,
				"mesh_edges_detail": "10.10.2.2:9077:OK,10.10.2.5:9077:OK,10.10.2.4:9077:OK",
				"_f4_note": "F4 verifies this local nodes N-1 OUTBOUND mesh edges to every peer via both GET health and POST sync_push dry_run. Aggregator ANDs across N nodes to confirm full N*(N-1) bidirectional reachability. Gates baseline_pass.",
				"ai_memory_mcp_stdio_f5": true,
				"ai_memory_mcp_stdio_init_ok": true,
				"ai_memory_mcp_stdio_tools_ok": true,
				"ai_memory_mcp_stdio_tools_found": "memory_agent_list,memory_agent_register,memory_archive_list,memory_archive_purge,memory_archive_restore,memory_archive_stats,memory_auto_tag,memory_capabilities,memory_check_duplicate,memory_consolidate,memory_delete,memory_detect_contradiction,memory_entity_get_by_alias,memory_entity_register,memory_expand_query,memory_forget,memory_gc,memory_get,memory_get_links,memory_get_taxonomy,memory_inbox,memory_kg_invalidate,memory_kg_query,memory_kg_timeline,memory_link,memory_list,memory_list_subscriptions,memory_namespace_clear_standard,memory_namespace_get_standard,memory_namespace_set_standard,memory_notify,memory_pending_approve,memory_pending_list,memory_pending_reject,memory_promote,memory_recall,memory_search,memory_session_start,memory_stats,memory_store,memory_subscribe,memory_unsubscribe,memory_update",
				"_f5_note": "F5 spawns the ai-memory stdio MCP subprocess using the framework-configured invocation and verifies initialize + tools/list return memory_store, memory_recall, memory_list. Deterministic (no LLM). Gates baseline_pass.",
				"tls_mode": "mtls",
				"tls_handshake_f6": true,
				"tls_handshake_f6_reason": "",
				"mtls_enforcement_f7": true,
				"mtls_enforcement_f7_reason": "",
				"_f6_f7_note": "F6 verifies the TLS 1.3 handshake against the local serve + CA chain. F7 verifies mTLS enforcement — anonymous client rejected, whitelisted client accepted. Both gate baseline_pass when tls_mode != off / mtls respectively.",
				"embedder_loaded_f8": true,
				"embedder_loaded_f8_reason": "",
				"_f8_note": "F8 verifies /api/v1/capabilities reports features.embedder_loaded=true — i.e. the MiniLM embedder initialised at serve startup. Gates baseline_pass unconditionally. Without this, scenario-18 silently black-holes (semantic recall returns 0 rows).",
				"agent_mcp_ai_memory_canary": true,
				"canary_uuid": "1fd64d74-5387-4881-9c12-f5cedfddd9a1",
				"canary_namespace": "_baseline_canary_f2a"
			},
			"baseline_pass": true
		}
	]
}

raw file

Run focus

Campaign run failed: no scenario reports recovered

What this campaign tested: Intended to exercise 31 scenarios across transport (federation mesh), framework (ironclaw agents), and primitives (memory sharing) in a 4-node DigitalOcean topology, but no tests executed successfully.

What it demonstrated: The campaign infrastructure failed to produce any scenario results, demonstrating a breakdown in the testing harness rather than validating AI memory functionality.

AI NHI analysis · Claude Opus 4.7

Campaign run failed: no scenario reports recovered

FAIL — no scenario reports recovered

For three audiences

Non-technical end users

This test run was supposed to check if AI agents can reliably share memories with each other, but it didn't work at all. No tests ran, so we learned nothing about whether the memory sharing is dependable. It's like planning a big experiment but forgetting to turn on the equipment.

C-level decision makers

This run indicates a critical failure in the CI/CD pipeline, blocking assessment of production readiness for v0.6.3.1 and increasing risk of unvalidated deployments. Customer claims around reliable agent memory federation cannot be substantiated without successful tests. Compared to prior runs, this represents a regression in harness reliability, demanding immediate pipeline fixes before scaling.

Engineers & architects

The campaign requested 31 scenarios (S1, S1b, S2, S4-S6, S9-S18, S22-S25, S28-S42) but recovered zero reports, with overall_pass=false due to 'no scenario reports recovered'. No specific failure modes in primitives or frameworks observable; probable root cause is a harness issue (harness_sha=ec93ea6d988f5b4613c7f874a45cc8348e41fadc) failing to capture or execute tests in the 4-node mesh. Check CI workflow at https://github.com/alphaonedev/ai-memory-a2a-v0.6.3.1/actions/runs/25224497189 for logs.

What changes going into the next campaign

Debug and fix the test harness to ensure scenario reports are generated and recovered before re-running the campaign.

All artifacts