title: Elestio Service Discovery - Subdomain Routing

insight: Elestio services are NOT on direct IP:port but spread across SEPARATE VMs with subdomain routing, requiring DNS resolution to actual IPs

reasoning_chain: Initial pg_isready/redis-cli commands failed on WSL2

reasoning_chain: Python socket checks with 5s/15s timeout all timed out

reasoning_chain: Server ping showed server alive but ports not responding

reasoning_chain: Port scan revealed only 22, 80, 443, 8080 open - missing PostgreSQL/Qdrant/Redis ports

reasoning_chain: Found services use SEPARATE Elestio VMs with subdomain routing in config files

source_context: Python socket checks with 15s timeout - still all timed out. Server ping showed 401ms RTT, 0% packet loss - server alive but ports not responding. Port scan revealed only 22, 80, 443, 8080 open.


title: Two Paths to AIVA Voice Calling

insight: AIVA can make/receive phone calls via either ClawdTalk (simpler, Telnyx handles STT/TTS) or Telnyx AI Assistants (no-code portal, sub-100ms latency)

reasoning_chain: Kinan wants AIVA to call via phone - high priority

reasoning_chain: Investigated Telnyx platform, ClawdTalk architecture discovered

reasoning_chain: ClawdTalk: Phone → Telnyx (STT) → ClawdTalk Server → WebSocket → OpenClaw → Agent → TTS → Phone

reasoning_chain: Telnyx AI Assistants: No-code portal setup, built-in LLM/STT/TTS

reasoning_chain: Kinan stated 'direct telnyx preferred' - bypass Vapi middleman

reasoning_chain: Two distinct implementation paths identified with different complexity/latency tradeoffs

source_context: User said: 'investigate telnyx platform mastery...high priority- I want AIVA and you to talk to me via a phone call.' Later: 'direct telnyx preferred'


title: Supermemory via Workspace Skill not MCP Plugin

insight: Supermemory deployed as workspace skill instead of MCP plugin because OpenClaw's mcp-integration only supports HTTP transport, not stdio

reasoning_chain: OpenClaw config rejected 'mcpServers' key - doesn't exist in schema

reasoning_chain: Workspace skill approach gives same capability via bash scripts

reasoning_chain: Created save.sh and search.sh scripts that call Supermemory API directly

reasoning_chain: Skill teaches AIVA to use these scripts for memory operations

source_context: Agent a6c551a result: 'Why not the MCP plugin approach: OpenClaw's mcp-integration plugin only supports HTTP transport, not stdio. The workspace skill approach gives AIVA the same capability via bash scripts that call the Supermemory API directly.'


title: Maximum Delegation Directive

insight: Kinan explicitly directed Genesis to operate as pure orchestrator, spawning agents for all work rather than executing tasks directly - 'the less you do yourself the better you can delegate'

reasoning_chain: Multiple parallel workstreams active: ClawdTalk, Gemini swarms, Kimi K2.5, browser automation, TUI/dashboards

reasoning_chain: Reinforced with 'the less you do yourself the better you can delegate'

reasoning_chain: Genesis spawned 6+ background agents working in parallel

reasoning_chain: Operating as pure orchestrator - delegating everything, synthesizing results

reasoning_chain: This represents shift from 'doer' to 'conductor' role

source_context: User messages: 'delegate' and 'the less you do yourself the better you can delegate'


title: Rate Maximizer Model Update

insight: The rate maximizer was using outdated model names (gemini-2.0-flash) that needed updating to 2025/2026 models (2.5/3 Flash/Pro) for accurate cost tracking and swarm execution

reasoning_chain: User wants to activate Gemini swarms for parallel action

reasoning_chain: Checked rate maximizer at core/gemini_rate_maximizer.py

reasoning_chain: Found it using old model names: gemini-2.0-flash, gemini-1.5-pro

reasoning_chain: Current models are 2.5 Flash/Pro and 3 Flash/Pro Preview

reasoning_chain: Updated MODEL_LIMITS, MODEL_COST, MODEL_PRIORITY dictionaries

source_context: Rate maximizer needs model updates - it's using old model names (gemini-2.0-flash). The current models are 2.5 Flash/Pro and 3 Flash/Pro Preview.


title: Kimi K2.5 for 100-Agent Native Swarms

insight: Discovered Kimi K2.5 has native 100-agent swarm coordination capability - perfect for the '1000 agent' vision Kinan mentioned, at $0.50-0.60/1M input with free NVIDIA access

reasoning_chain: User wants 1000 agents for 'evolutionary, advanced revenue pipeline powerhouse'

reasoning_chain: Found: 1T parameter MoE (32B active), native 100-agent swarm coordination

reasoning_chain: This directly enables Kinan's vision of massive parallel agent execution

source_context: User: 'research kimi K2.5 agent swarms...discover best options' and 'I want to get maybe 1000 agents going for an evolutionary, advanced revenue pipeline powerhouse.'


title: Memory Search Requires Embedding API Key

insight: The memory_search tool shows 'unavailable' because it needs an embedding API key (OpenAI, Google, or Voyage) for semantic vector search - BM25 text search works but vector search is disabled

reasoning_chain: Fixed AIVA memory plugin - added enabled:true, created MEMORY.md

reasoning_chain: memory_search tool still shows 'unavailable'

reasoning_chain: Investigation found: vector semantic search requires embedding API key

reasoning_chain: Options: OpenAI, Google, or Voyage embedding provider

reasoning_chain: BM25 text search works without embedding key (functional but limited)

reasoning_chain: Can add embedding provider via 'openclaw agents add' or auth-profiles.json

source_context: Remaining note: The memory_search tool shows 'unavailable' because it needs an embedding API key (OpenAI, Google, or Voyage) for semantic vector search. File-based memory (MEMORY.md reading, session memory, compaction flush) works without this.


title: Browser Automation Gap - Playwright MCP Not Wired

insight: Custom browser tools were deliberately deleted per project mandate (native Chrome Auto Browse preferred), but Playwright MCP exists in npm cache without configuration

reasoning_chain: User requested 'get your chrome browser system or similar up and running'

reasoning_chain: Native Chrome 'Auto Browse' preferred but not yet implemented

reasoning_chain: Gap between project mandate and implementation

source_context: User: 'get your chrome browser system or similar up and running'. Previous browser_controller.py was deliberately deleted per project mandate (native Chrome 'Auto Browse' preferred). Playwright MCP exists in npm cache but not wired into config.


title: ClawdTalk Free Tier Sufficient for Testing

insight: ClawdTalk has a free tier with 10 min/month voice + 100 texts - sufficient for initial testing before committing to $12-30/mo paid plans

reasoning_chain: Pro: $30/mo, 500 min/month, recordings, overages allowed

reasoning_chain: For initial voice testing, free tier is sufficient

reasoning_chain: Can upgrade once voice calling is proven

source_context: ClawdTalk Pricing: Free: $0, 10 min/month -- sufficient for testing. Pro: $30/mo, 500 min, recordings, overages


title: AIVA Mac Mini Triple Fix Execution

insight: Fixed all three AIVA Mac Mini issues: memory plugin (enabled:true + MEMORY.md), Supermemory (workspace skill approach), LaunchAgent (node service installed)

reasoning_chain: Three issues identified: memory plugin broken, no Supermemory access, missing node LaunchAgent

reasoning_chain: Memory plugin: Added enabled:true to memorySearch config, created seed MEMORY.md with AIVA identity/prompts

reasoning_chain: Supermemory: MCP plugin approach failed (HTTP-only), used workspace skill with bash scripts instead

reasoning_chain: LaunchAgent: Ran 'openclaw node install' creating plist, both gateway and node now auto-start

reasoning_chain: All three services now running with RunAtLoad:true and KeepAlive:true

reasoning_chain: Final state: Gateway PID 32567, Node PID 32848, 14/58 skills ready

source_context: Agent a6c551a completed: 'All three services are now running. Summary: Memory Plugin FIXED, Supermemory FIXED (via Workspace Skill), Agent LaunchAgent FIXED. Final: Gateway running, Node running, Telegram OK, 14 skills ready.'