title: GLM-4.6V-Flash 9B model swap for AIVA

insight: Swap AIVA from glm-4.7-flash (19GB, no vision/tools) to GLM-4.6V-Flash 9B (8GB) which adds native vision + tool calling, addressing the response delay issue

reasoning_chain: User complained about AIVA response delay

reasoning_chain: glm-4.7-flash has no tool calling benchmarks and no vision capability

reasoning_chain: GLM-4.6V-Flash 9B is the only model with native vision-driven tool calling, related to current GLM family

reasoning_chain: New model is 8GB vs 19GB - much lighter, leaves more RAM headroom

reasoning_chain: Same GLM family means easier integration and similar behavior

source_context: Kinan: 'swap her to GLM-4.6V-Flash 9B now'


title: Why keep old model as fallback

insight: Keep glm-4.7-flash downloaded even after swap - disk space is cheap, RAM isn't used until loaded, enables instant rollback

reasoning_chain: Kinan asks 'maybe delete the other model to save space?'

reasoning_chain: Disk: 512GB SSD, both models ~16GB combined - not a concern

reasoning_chain: RAM: Ollama only loads active model - having glm-4.7-flash doesn't eat RAM

reasoning_chain: Rollback: One config change swaps back instantly if new model has issues

reasoning_chain: Decision: Keep for now, delete after confirming stability for a day or two

source_context: Genesis: 'I'd keep it for now as a fallback... Having glm-4.7-flash downloaded doesn't eat RAM'


type: DIRECTIVE

title: Command Centre Doctrine - Autonomous Operation

insight: Kinan gives Genesis full autonomy to work independently: 'see what you can accomplish on your own. you have my vision'

reasoning_chain: Kinan announces he's leaving to do farm work

reasoning_chain: Instead of asking what to do, he grants autonomous authority

reasoning_chain: References 'my vision' - the strategic direction already established

reasoning_chain: High priority: build Memory MCP product under sunaiva.ai brand

reasoning_chain: Expected to: research, build, keep context lean, handle agent results

source_context: Kinan: 'i have to do some farm work for a while. see what you can accomplish on your own. you have my vision'


title: Sunaiva Memory MCP Product Vision

insight: Memory-as-a-Service product - MCP server that gives any AI agent persistent memory, built on existing pipeline API, parser, entity extractor in Sunaiva/

reasoning_chain: Kinan asks 'do you understand this project?' - critical confirmation point

reasoning_chain: Project is sunaiva.ai (not sunaiav.ai - Genesis corrects

reasoning_chain: Exists: Pipeline API, universal parser, entity extractor, MCP server template, landing page, Docker stack

reasoning_chain: MVP GAPS: Polish frontend, deploy backend, wire end-to-end, test with real data

reasoning_chain: Approach: Parallel workstreams - Research + Frontend + Backend + MCP Server

source_context: Kinan: 'high priority is to build our memory mcp product under sunaiva.ai brand. do you understand this project?'


title: Keep AIVA Telegram responsive

insight: Kinan adds critical requirement: maintain AIVA's Telegram responsiveness while he's away doing farm work

reasoning_chain: Adds: 'also keep aiva's telegram responsive while i'm away'

reasoning_chain: This is operational requirement during autonomous operation

reasoning_chain: Requires: Monitor gateway, ensure model swap completed, test responses

source_context: Kinan: 'also keep aiva's telegram responsive while i'm away'


title: Build Swarm Parallelization

insight: Launch 6 parallel agents for Sunaiva MVP - maximizes throughput while keeping Genesis as orchestrator not worker

reasoning_chain: Genesis recovered context and understood Sunaiva existing work

reasoning_chain: Instead of building alone, dispatches build swarm

reasoning_chain: Parallel agents: Research (deep read), Frontend (landing+upload), Backend (consolidated API), MCP Server (personal memory)

reasoning_chain: Genesis monitors progress rather than doing the work

reasoning_chain: Stays responsive to Kinan while builders work in background

source_context: Genesis: 'Build swarm fully active — 6 agents running in parallel'


title: Vision + Tools combined in single model

insight: GLM-4.6V-Flash 9B is the only model that combines vision capability with native tool calling - solves two problems with one swap

reasoning_chain: Research showed Qwen3 14B best for tools-only (F1 0.971)

reasoning_chain: Research showed separate vision models needed middleware

reasoning_chain: Related to current glm-4.7-flash family - easier transition

reasoning_chain: Only ~8GB RAM - fits well in 24GB Mac Mini

source_context: Genesis: 'GLM-4.6V-Flash 9B is the only model with native vision-driven tool calling. It's related to AIVA's current glm-4.7-flash'


title: Gateway restart required bootstrap

insight: Gateway stopped after restart sequence and needed manual start - the 'gateway install' step was needed to re-enable after 'gateway stop'

reasoning_chain: After model swap, gateway needed restart

reasoning_chain: Ran: gateway stop → gateway install → gateway start

reasoning_chain: Had to start it directly with 'gateway start'

reasoning_chain: Issue: gateway stop unloads LaunchAgent, need install to re-arm it

source_context: Genesis: 'Gateway is down after the restart sequence. Let me start it directly'