type: capability

title: DeepSeek-R1 OpenRouter Integration

content: DeepSeek-R1 (671B MoE) and DeepSeek-R1-Distill-Qwen-32B wired into Genesis via OpenRouter. Integrated into core/multi_model_swarm.py under new DEEP_REASONING ModelTier. Entry points: swarm.deep_reason(task) for full R1, swarm.deep_reason(task, fast=True) for distill. Cost: $0.55/MTok R1, $0.12/MTok distill vs $15/MTok Opus = 27x savings. Live tested and verified. OpenRouter attribution headers added for compliance.


title: MultiModelSwarm DEEP_REASONING tier

content: New ModelTier.DEEP_REASONING enum added to core/multi_model_swarm.py. Two models: deepseek-r1 (deepseek/deepseek-r1, $0.55/MTok, max_tokens=8192) and deepseek-r1-distill (deepseek/deepseek-r1-distill-qwen-32b, $0.12/MTok). deep_reason() method uses temperature=0.0 for deterministic reasoning. OpenRouter requires HTTP-Referer and X-Title headers — added to all OpenRouter model calls.


type: config

title: OPENROUTER_API_KEY synced to config/secrets.env

content: OpenRouter API key sk-or-v1-e494fd98... was only in .env. Now also in config/secrets.env under comment '# OpenRouter — Multi-Model Gateway (DeepSeek, Kimi, MiniMax, etc.)'. Both env files now consistent. Key was also found in AIVA's openclaw.json on Mac Mini.


type: research

title: RLM Architectures Research Report

content: 33KB research report at reports/rlm_architectures_research.md. Top 5 architectures: (1) MIT CSAIL RLMs — LLMs treat context as executable REPL environment, infinite context, GPT-5-mini beats GPT-5 2x; (2) Google Titans/MIRAS — neural long-term memory updates own weights at inference; (3) MIRIX — multi-agent multi-tier memory 35-410% better than flat RAG; (4) Mem0 — memory graph with selective retention; (5) Gossip Protocol — distributed memory coordination. Genesis already implements RLM pattern via Claude→Gemini swarm.


title: RLM Bloodstream Pipeline

content: core/rlm_bloodstream_pipeline.py — 980 lines. 6-step autonomous pipeline: (1) Load KG entities/axioms to PostgreSQL delta; (2) Embed new entries to Qdrant; (3) Refresh Redis hot cache top 50 by confidence 24h TTL; (4) Run MemoryDigestion night-cycle; (5) Generate mentor preference pairs; (6) Write run report. Never crashes — every step try/except guarded. Run flag prevents concurrent executions. Dry-run mode available.


title: Two Gemini CLI instances active session 57

content: Instance 1 (pts/2, PID 28790, started 04:57): Working on Telnyx AI Widget (telnyx_ai_assistant_manager.py 228 lines) and BunkerFNQ site clone (cloned_bunkerfnq/ 4 empty files mid-write). Instance 2 (pts/1, PID 29830, started 05:22): Patent OS swarm using DeepSeek-R1+Kimi+MiniMax. Already produced mcp-servers/patent-os/models.py, database.py, widget/shield_badge.html. Minor overlap: swarm_orchestrator.py has raw DeepSeek fallback superseded by core/multi_model_swarm.py.


type: gap

title: 3 missing RLM research reports

content: Previous session (56) launched 5 research agents but credit limit ($85.18) killed 3 before output: (1) reports/rlm_cloudflare_workers_research.md — Cloudflare Workers + Moltworker feasibility for 1000-node deployment; (2) reports/rlm_model_cost_research.md — cost-efficient models for always-on workers; (3) reports/rlm_network_topology_design.md — mycelial network topology. KG entities and axioms for these also missing. These can now be run via DeepSeek-R1 distill at $0.12/MTok.


title: Telnyx AI Assistant — AgileAdapt Voice Widget LIVE

content: Production Telnyx AI Assistant created session 57. UUID: assistant-e6332e95-448b-4cbb-8e4a-704f964f9333. Model: google/gemini-2.5-flash. Voice: Eucalyptus (Telnyx NaturalHD AU female). WebRTC unauthenticated web calls enabled. Speaking plan: wait=0.3s, on_punct=0.1s, on_no_punct=1.5s. LLM secret gemini-genesis-key (5dde93a7-91b9-4977-a22e-e2c1ac369008). System prompt: compliance-forward, 9-Layer Shield, AU Privacy Act ADM deadline, $497/$997/$1497 pricing, zero AU cliches. Config at RECEPTIONISTAI/widget/telnyx_assistant_config.json. Agent self-corrected Telnyx API key typo (extra 8 in FCA68681 -> FCA8681) from Credentials file.