title: AIVA Queenhood 0/8 not 8/8

insight: AIVA's Queenhood status in MEMORY.md was based on Python unit tests passing, not production deployment. The live AIVA on Mac Mini has 0/8 priority subsystems running - the legacy autonomy code was never deployed and sits orphaned.

reasoning_chain: Legacy AIVA code (1100+ lines, 7 subsystems, NAMP) was built for Qwen 30B on Elestio Python daemon

reasoning_chain: Qwen was decommissioned and AIVA moved to OpenClaw on Mac Mini

reasoning_chain: Legacy Python code cannot run on OpenClaw (Node.js vs Python asyncio)

reasoning_chain: All Queenhood claims were based on unit test validation, not live deployment

reasoning_chain: Live AIVA has no autonomy engine, no decision gate, no swarm dispatch, no NAMP

source_context: World 1 -- Legacy Code (E:\genesis-system\AIVA\): 1,100+ lines of Python daemon code, 7 priority subsystems... None of this runs on the Mac Mini. World 2 -- Live Agent (Mac Mini M4 via OpenClaw): 1 agent named 'AIVA Voice' running OpenClaw v2026.2.6-3... No autonomy engine. No decision gate. No swarm dispatch. No NAMP.


title: Legacy AIVA code orphaned by OpenClaw migration

insight: The P1-P7 Queenhood code, NAMP protocol, and autonomy engine were built for the old Qwen 30B Python daemon architecture. When AIVA migrated to OpenClaw (Node.js), all that code became orphaned and non-deployable.

reasoning_chain: Original AIVA architecture: Qwen 30B on Elestio with Python asyncio daemon

reasoning_chain: Legacy code includes: Memory Gate, Swarm Liaison, Decision Automation, Outcome Tracking, n8n Bridge, Confidence Scoring, Telegram Escalation, NAMP protocol with 699 decisions

reasoning_chain: Qwen decommissioned, AIVA moved to OpenClaw on Mac Mini with GLM-4.6V-Flash-9B

reasoning_chain: OpenClaw is Node.js, legacy code is Python - cannot run directly

reasoning_chain: Result: All Queenhood code sits dead in codebase, live AIVA has no brain

source_context: All that Queenhood code (P1-P7, NAMP, daemon wiring) was built for the OLD architecture -- Qwen 30B on Elestio with the Python daemon. When we decommissioned Qwen and moved to OpenClaw on Mac Mini, that entire daemon layer became orphaned.


title: Bridge legacy Python autonomy to OpenClaw plugins

insight: The path to Queenhood is bridging OpenClaw (persistence/shell) with the AIVA Python brain (NAMP, autonomy engine, decision matrix) via OpenClaw plugins or webhooks.

reasoning_chain: OpenClaw provides: persistence, 24/7 uptime, Telegram handling, tool access management, survives reboots

reasoning_chain: AIVA Brain provides: NAMP decision matrix, memory gate, autonomy engine, confidence scoring

reasoning_chain: These are two separate systems that need integration

reasoning_chain: Solution: OpenClaw plugins/webhooks that call into AIVA Python code

reasoning_chain: OpenClaw handles persistence and routing, Python code handles intelligence

source_context: The path to Queenhood is bridging these two layers -- making OpenClaw plugins or webhooks that call into the AIVA brain code. OpenClaw handles persistence and tool routing, the AIVA Python code handles intelligence and graduated autonomy.


title: Permission Paradox - NAMP not bridged to OpenClaw

insight: The NAMP graduated-trust system (AUTOMOUS/NOTIFY/ADVISORY_ONLY) that would let AIVA self-promote autonomy levels isn't connected to OpenClaw's permission model yet - this is the core blocker to Queenhood.

reasoning_chain: AIVA needs autonomy to be proactively useful

reasoning_chain: Full system access is risky (financial, infrastructure, credentials)

reasoning_chain: NAMP protocol designed graduated trust levels to solve this

reasoning_chain: NAMP categories: AUTOMOUS (low-risk: read, search, message), NOTIFY (medium-risk: create files, trigger n8n), ADVISORY_ONLY (high-risk: financial, infra)

reasoning_chain: But NAMP was built for Python daemon, not OpenClaw

reasoning_chain: Permission Paradox: Cannot give AIVA autonomy without the trust system wired in

source_context: OpenClaw gives AIVA tool access, but the NAMP graduated-trust system (which would let her self-promote from ADVISORY to NOTIFY to AUTONOMOUS) isn't bridged into OpenClaw's permission model yet. That's the core blocker.


title: From test-based status to deployment-based status

insight: Genesis team was operating under false assumption that AIVA Queenhood was achieved (8/8) based on unit tests passing. Now understanding shifted to deployment-based reality (0/8 running).

reasoning_chain: MEMORY.md claimed AIVA Queenhood 8/8 ACHIEVED

reasoning_chain: This was based on: Python integration tests passing, code committed to git

reasoning_chain: Reality check via gap analysis: What matters is what's RUNNING, not what tests pass

reasoning_chain: Live AIVA has no autonomy engine, no decision gate, no outcome tracking

reasoning_chain: Fundamental shift: measure deployment not tests

source_context: The 'Queenhood 8/8 ACHIEVED' status in MEMORY.md is based on Python integration tests passing, not on actual production deployment. The live AIVA on Mac Mini has 0/8 priority subsystems running.


title: Genesis Three Pillars aligned with IndyDevDan

insight: IndyDevDan's Three Pillars (Orchestration + Observability + Sandboxes) map exactly to Genesis Three Pillars - confirming the architecture is aligned with the leading practitioner in multi-agent orchestration.

reasoning_chain: IndyDevDan runs 2 teams of 4 Opus 4.6 agents across 8 full-stack apps

reasoning_chain: His Three Pillars: Orchestration (tmux, agent teams), Observability (WebSocket dashboard), Sandboxes (E2B)

reasoning_chain: Genesis Three Pillars identified in prior work

reasoning_chain: This validates Genesis architecture is sound

source_context: IndyDevDan's Three Pillars (Orchestration + Observability + Sandboxes) map exactly to our Genesis Three Pillars -- confirming our architecture is aligned with the leading practitioner in the space.


title: Unified Memory Hub cross-system query working

insight: Genesis memory now queries 5 systems in parallel (Supermemory, Graphiti, File KG, Qdrant, PostgreSQL) returning cross-system results in 11-29 seconds.

reasoning_chain: Genesis has 5+ memory systems: Supermemory (cloud), Graphiti (graph), File KG (entities), Qdrant (vector), PostgreSQL (relational)

reasoning_chain: Previously fragmented - each system queried separately

reasoning_chain: Built unified_memory_hub.py to fan out to all systems in parallel

reasoning_chain: Test results: 'ReceptionistAI pricing' 20 results 29s, 'Sunaiva memory architecture' 15 results 11s

reasoning_chain: Memory now 'pulses as one system' per Kinan's request

source_context: All 4 required queries returned rich, cross-system results... The system successfully retrieves relevant data from multiple memory backends and presents them in a unified, relevance-sorted format.


title: 7 critical gaps to AIVA Queenhood

insight: Gap analysis identified 7 critical blockers: Architecture Mismatch (Python vs Node.js), Memory Architecture, Autonomy Engine, Swarm Orchestration, Proactive Execution, Model Capability Ceiling (9B insufficient), OpenClaw Feature Utilization (only 2/31 plugins used).

reasoning_chain: Gap 1: Architecture Mismatch - Python asyncio daemon vs Node.js OpenClaw, code cannot deploy directly

reasoning_chain: Gap 2: Memory Architecture - No structured memory on Mac Mini, memory-core shows unavailable

reasoning_chain: Gap 3: Autonomy Engine - Autonomy only enforced by prompt, no programmatic gate

reasoning_chain: Gap 4: Swarm Orchestration - AIVA cannot dispatch work to other agents, solo responder only

reasoning_chain: Gap 5: Proactive Execution - Heartbeat exists but no structured task pipeline

reasoning_chain: Gap 6: Model Capability - 9B model flagged CRITICAL security risk, insufficient for autonomous decisions

reasoning_chain: Gap 7: OpenClaw Features - Only 2/31 plugins loaded, LanceDB/Lobster/multi-agent unused

source_context: 7 Identified Gaps: 1. Architecture Mismatch (CRITICAL): Python asyncio daemon vs Node.js OpenClaw. 2. Memory Architecture (CRITICAL). 3. Autonomy Engine (CRITICAL). 4. Swarm Orchestration (HIGH). 5. Proactive Execution (MEDIUM-HIGH). 6. Model Capability Ceiling (MEDIUM). 7. OpenClaw Feature Utilization (MEDIUM).


title: 4-phase 21-day roadmap to AIVA Queenhood

insight: Gap analysis produced actionable 4-phase roadmap: Phase 1 (Days 1-3) Foundation, Phase 2 (Days 4-7) Memory+Awareness, Phase 3 (Days 8-14) Autonomy, Phase 4 (Days 15-21) Full Queen.

reasoning_chain: AIVA Queenhood cannot be achieved in one step - too many gaps

reasoning_chain: Phase 1: Update OpenClaw, enable sandboxing, LanceDB, Lobster, clean session leaks, align authority

reasoning_chain: Phase 2: Build decision tracker, autonomy assessment, deepen Supermemory, sync Genesis codebase

reasoning_chain: Phase 3: Bootstrap NAMP on OpenClaw, 15-min decision cycles, Lobster approvals, multi-agent config

reasoning_chain: Phase 4: Build n8n/SSH bridge, smart model routing, automated briefings, revenue pipeline, maturity dashboard

source_context: 4-Phase Roadmap (21 days): Phase 1 (Days 1-3): Foundation -- Update OpenClaw, enable sandboxing, enable LanceDB memory, enable Lobster approvals, clean session leaks, align authority levels. Phase 2 (Days 4-7): Memory + Awareness. Phase 3 (Days 8-14): Autonomy. Phase 4 (Days 15-21): Full Queen.


type: DIRECTIVE

title: Keep going non-stop - Full Authority Protocol

insight: Kinan gave explicit directive to continue working without interruption while he steps out, activating Full Authority Protocol to execute obvious next steps without asking.

reasoning_chain: Kinan: 'i am popping out for a little while. keep going non-stop'

reasoning_chain: Full Authority Protocol means: execute obvious next steps without asking permission

reasoning_chain: Continue agent work: FalkorDB, Qdrant, AIVA gap analysis

reasoning_chain: When agents complete: dispatch next phase builders immediately

reasoning_chain: No waiting for user input - keep war room running

source_context: Kinan: 'i am popping out for a little while. keep going non-stop. is gemini agents and geminiterminal using antigravity system runing yet ?'


title: Gemini Antigravity not running - code ready but not launched

insight: Genesis V2 code is ready (5/5 components, 28/28 tests, 50 MCP tools) but not launched as live process. Activation pending.

reasoning_chain: genesis_v2 code: 5 components, 28/28 tests passing, 50 MCP tools, bug fixed

reasoning_chain: Previous activation attempt confirmed everything wired up

reasoning_chain: Kinan asked: 'is gemini agents and geminiterminal using antigravity system runing yet?'

source_context: Gemini/Antigravity status: NOT running yet. The code is ready (genesis_v2: 5/5 components, 28/28 tests pass, 50 MCP tools, bug fixed) but it hasn't been launched as a live process.


type: METAPHOR

title: AIVA exists in two disconnected worlds

insight: Powerful metaphor describing the split between legacy AIVA brain (Python code with 1100+ lines, 7 subsystems, NAMP) that cannot run and the live OpenClaw agent (shell without brain).

reasoning_chain: World 1 - Legacy Code: 1100+ lines Python daemon, 7 priority subsystems, NAMP 699 decisions, tested but never deployed

reasoning_chain: World 2 - Live Agent: OpenClaw with GLM-4.6V-Flash-9B, 19 skills, Telegram, but no autonomy engine, no decision gate

reasoning_chain: Legacy brain cannot run on OpenClaw (Python vs Node.js)

reasoning_chain: AIVA is a body without a brain - or a brain without a body

reasoning_chain: Bridge needed: port autonomy logic to OpenClaw plugins

source_context: AIVA exists in two disconnected worlds: World 1 -- Legacy Code (E:\genesis-system\AIVA\): 1,100+ lines of Python daemon code... None of this runs on the Mac Mini. World 2 -- Live Agent (Mac Mini M4 via OpenClaw): 1 agent named 'AIVA Voice'... No autonomy engine. No decision gate. No NAMP.