2.5 KiB
2.5 KiB
title, type, status, created, updated, verified_on, confidence, tags, sources
| title | type | status | created | updated | verified_on | confidence | tags | sources | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Nanobot | agent | active | 2026-07-22 | 2026-08-17 | 2026-08-17 | high |
|
|
Nanobot
Purpose
Primary homelab AI agent running on clawtest (CT333). Handles agent orchestration, memory, tool execution, and cross-channel messaging for Anthony.
Location
- Host: LXC 333, hostname
clawtest, Tailscale IP100.122.189.81. - User:
nano - Workspace:
/home/nano/.nanobot/workspace
Current state
- Status: ACTIVE. Confirmed running as of 2026-08-17.
- Gateway: port
8765(HTTP API + chat completions) - WebSocket bridge: port
8766 - Serve API: port
8900(host0.0.0.0, requiresapi_keyin config) - WhatsApp Bridge:
whatsapp-bridge.serviceactive on ct333 - Model preset:
freellmapi-auto(current session); baseline context window 200,000 tokens
Cron jobs
auto-upgrade-freellmapi-safeguard— daily at 03:30 AWSTmorning-quota-report— daily at 07:30 AWSTdaily-quota-730am— daily at 07:30 AWSTvault-daily-seed— daily at 08:00 AWSTdaily-agent-briefing— daily at 08:15 AWSTrss-check-proxmox-selfhst— Mon/Thu at 09:00 AWSTdaily-quota-7pm— daily at 19:00 AWSTevening-quota-report— daily at 21:00 AWSTheartbeat— every 30mdream— every 2h (memory consolidation)
Skills
Active skills include: agent-reach, verify-nanobot-config-against-docs, cli-app-exa, playwright, system-prompts-collection, agent-skill-retrieval, enhanced-search, api-gateway, debugging-and-error-recovery, mnemosyne-memory-hooks, proxmox-shell-fallback, agentmail, langfuse, install-and-verify-agent-skills, verify-system-claims, skill-interceptor, tool-call-failure-recovery, using-agent-skills, api-vault, repair-memory, patch-config-relative-paths, long-task-management, nanobot-full-restore-backup, context-diet, frontend-design.
Connected systems
Known issues
- Context window management requires periodic skill audits; baseline skill catalog + MCP schemas consume ~38–51K tokens per turn.
- Model preset
freellmapi-automay route through fallback models depending on provider availability. - See incidents/nanobot-degraded-2026-08-07 for prior outage.