{ "updated": "2026-04-23", "agents": { "nasr": { "container": "nasr-m2o-qg8o4ow8wcg0k4kc4kc8sgwk-094937152673", "ip": "172.18.0.23", "bot": "@nasr_s_bot", "identity": "Smithers", "container_status": "running", "volume_safe": true, "workspace_files": { "SOUL.md": "intact", "USER.md": "intact", "IDENTITY.md": "intact", "MEMORY.md": "intact", "AGENTS.md": "intact" }, "fixes": { "workspace_path_typo": "DONE 2026-04-22" }, "skills_on_disk": [ "2dexy-sync", "agency-agents", "build-verify", "clinical-pathway", "cursor-agent", "harness-engine", "intent-elicit", "intent-router", "m2-memory", "ml-training", "mm-pdf", "patient-pathway", "quantum-trading", "rlm-memory", "spec-discovery", "trading-app-dev", "unified-search", "xcode-remote" ], "skills_in_git": false, "skills_git_repo": "pending \u2014 create git.machinemachine.ai/nasr/skills", "memory_collection": "agent_memory_nasr", "memory_restored": true, "memory_sources": [ "spark4:agent_memory (22744 pts \u2014 filter nasr)", "spark3:m2.zip (DM history with m2)", "spark3:machine.machine.zip (GMI group chat \u2014 2.7MB)" ], "projects_on_disk": [ "GMI-Cancer-Pathways", "quantum-trading-intelligence", "trading-2dexy", "trading-platform", "fleet-bus" ], "gmi_agent": "planned \u2014 machine.machine.zip has GMI clinic context", "telegram_id": 6234474652, "telegram_zip": "in spark3/m2.zip (DM with m2) + machine.machine.zip", "status": "memory_restored", "next_steps": [ "create Forgejo skill repos (needs API token)", "ingest nasr-filtered rows from m2.zip (DM context with m2)", "Hermes agent integration (await Mariusz feedback)", "GMI agent spec (kickoff Friday 2026-04-25)" ], "memory_restored_details": { "source": "machine.machine.zip (spark3)", "rows_ingested": 1645, "rows_failed": 0, "date": "2026-04-23", "collection": "agent_memory_nasr" } }, "parlo": { "container": "parlobyg-m2o-rb7jo02f78yvtb896v3p6ysr", "ip": "172.18.0.12", "bot": "@Parlomachine_bot", "container_status": "running", "volume_safe": "fixed March 2026 \u2014 was missing /agent_home volume", "memory_restored": false, "telegram_zip": "spark3:parlobyg.zip (41MB)", "status": "queued" }, "peter": { "container": "peter-desktop-pg48404w00sow0s0oo4cg8k8-124140472825", "ip": "172.18.0.9", "bot": "@MuhlmannBot (MuhlAi)", "container_status": "running", "image": "custom (not m2-desktop:agent-latest)", "volume_safe": true, "memory_restored": false, "telegram_zip": "in spark3:m2.zip (filter peter/muhl context)", "status": "queued" }, "m2": { "container": "local (this machine)", "bot": "@mariusz_pa_bot", "container_status": "running", "memory_restored": "partial \u2014 current m2 memory from ingested sessions", "telegram_zip": "spark3:m2.zip (85MB \u2014 FULL m2 DM history, 38 HTML files)", "note": "m2.zip is the primary source for m2 context restoration \u2014 full history from day 1", "status": "queued \u2014 first candidate for ingestion pipeline test" }, "alfred": { "container_status": "offline", "volume_safe": true, "identity": "Alfred \u2014 Superhero Capital agent", "status": "parked \u2014 container down" }, "gunnar": { "container_status": "offline", "bot": "@Innerstanding_bot (Innerstanding)", "volume_safe": true, "status": "parked \u2014 container down" }, "agentx": { "container_status": "offline", "bot": "@m2_onboarding_bot", "status": "parked \u2014 container down" } }, "infrastructure": { "spark3_telegram": { "path": "/home/m2spark3/telegram/", "zips": { "m2.zip": "64MB \u2014 full m2 DM history", "parlobyg.zip": "41MB \u2014 parlo chat", "machine.machine.zip": "572KB \u2014 MM group chat (GMI context)", "m2-devops.zip": "79KB \u2014 devops channel", "love-travel Georg.zip": "66KB" }, "ingest_tool": "agent.memory.system/ingest/telegram_export.py" }, "spark4_memory": { "api": "http://192.168.31.163:8000", "collection": "agent_memory", "points": 22744, "status": "degraded \u2014 Redis RDB write failure, read-only" }, "m2_memory": { "api": "http://172.18.0.20:8000", "status": "healthy" }, "memory_api_fix": { "bug": "AgentMemory.close() was closing shared _qdrant client \u2014 killed all subsequent requests", "fix": "ownership tracking (_owns_qdrant/embeddings/redis) in memory.py", "deployed": "2026-04-23", "files_fixed": [ "memory.py (close logic)", "main.py (qdrant_client\u2192qdrant param)" ] } }, "secrets": { "approach": "Vaultwarden", "status": "planned", "pattern": "per-agent folder: agent/{name}/KEY_NAME" }, "skills_git": { "approach": "git.machinemachine.ai per-agent org or machine-machine org", "status": "planned" } }