nanobot-runtime/memory/MEMORY.md

# Long-term Memory

This file stores important information that should persist across sessions.

## Preferences

### Report / result files
- Save important reports to `results/` directory with descriptive, date-prefixed filenames (e.g., `2026-06-02_remind-skill-analysis-and-improvements.md`)

### Script-writing convention
- Location: always save scripts in the `scripts/` directory.
- Language choice:
  - Extremely short script (a few lines) -> bash.
  - Longer / non-trivial script -> Python.
- Override: if the user explicitly specifies a language or location, their instruction always takes precedence.

### Temporary files
- All temporary files go to `tmp/` directory.
- Clean up after tests and one-off operations.

### Code changes
- User prefers changes to be made in a temporary clone under `workspace/tmp/<repo-name>` for review before applying

## Project Context

- User wants to deploy "grill-me" plugin for Claude Code
- User wants to try "praneybehl/llm-wiki-plugin" for Claude Code — markdown-based thought management / organization
- Daily automated check for new nanobot Docker image releases with Telegram notifications (pending setup)
- Both user and assistant run on the same nanobot Docker image
- Docker CLI is unavailable in the current runtime environment
- Ollama cloud subscription: na požádání zobrazit aktuální využití (usage)
- Ollama cloud limity: 5hodinová session, 7denní týdenní okno
- `/note` skill: backend storage uses SQLite (not markdown)
- `/note` skill: má být deterministický a logovat všechny provedené operace
- `/note` skill: má být rozdělený na kratší prompt + python skript, který provádí operace
- nanobot podporuje cross-channel session continuity přes `unifiedSession: true` v `config.json` pod `agents.defaults`
- Uživatel nemá `unifiedSession` povolený v `config.json` (default false)
- Zapnutí `unifiedSession` sjednotí jen budoucí zprávy; existující session soubory vyžadují ruční merge/rename pro propojení minulých konverzací
- Session files are stored in `/home/nanobot/.nanobot/workspace/sessions/` (confirmed after failed attempts at root `.nanobot/sessions/`)
- User explicitly rejected unified/Mega session approach; prefers connecting to older existing sessions instead
- Telegram slash commands (e.g., `/skills`) are filtered out by `& ~filters.COMMAND` in telegram.py:384; workaround: invoke skills without slash prefix (e.g., `skills` not `/skills`); alternative fix: remove the filter from MessageHandler
- Current nanobot version: v0.2.1; no newer version available as of 2026-06-07
- User wants deterministic IRC-bot-style command dispatch in nanobot where `!command text` invokes a registered Python function or external app and returns output without LLM agent involvement
- User expects nanobot creators to implement custom command registration natively and considers existing workaround solutions unsatisfactory
- Zájem o `:skillname` prefix pro deterministické vyvolání skillu bez LLM deliberace — varianta navrhovaného custom command patche s `!` prefixem
- Nanobot CommandRouter has priority/exact/prefix/interceptor tiers but lacks an extension point for custom command registration with all handlers hardcoded in builtin.py
- Proposed nanobot patch adds a custom command tier to CommandRouter dispatching before session lock configured via `commands` section in config.json supporting exec script and python module/function handler types
- `AgentLoop.__init__` does not accept a `config` parameter; custom command loading must happen in `from_config()` after instance creation, guarded by `_custom_commands_loaded` flag to prevent duplicate registration
- Custom commands are dispatched inline before the session lock, same pattern as priority commands
- Nanobot turn state machine: RESTORE→COMPACT→COMMAND→BUILD→RUN→SAVE→RESPOND→DONE; matched non-priority commands shortcut to DONE skipping BUILD/RUN/SAVE
- Nanobot command handler return contract: OutboundMessage | None — None = fall through to LLM agent (/goal uses this hybrid pattern: returns None → LLM receives modified content)
- No existing `!` prefix handling in nanobot — all current commands use `/` prefix only
- cli_apps tool exists at nanobot/agent/tools/cli_apps.py — relevant for calling external apps from custom commands
- `python` command is unavailable in runtime; `python3` must be used instead

## Agent Model Selection
- Ollama subscription covers all discussed models; price/cost excluded from model comparison criteria
- Prioritizes agentic performance, correct tool calling, and overall result quality
- Primary nanobot agent model: GLM-5.1:cloud (best sustained productivity over long sessions/hundreds of rounds, strong real-world agent benchmarks, no known bugs)
- Alternative nanobot agent model for tool-heavy tasks: Qwen 3.5:cloud (397B variant)
- Conservative fallback nanobot agent model: DeepSeek V3.2:cloud
- OpenRouter is pay-per-token alternative to Ollama subscription for model access
- Gemini Flash via Google AI Studio Free Tier: 15 RPM limit — unusable for agent work; only viable for simple prompts without tool calls
- Gemini Flash via Google AI Studio Tier 1 (paid): 360+ RPM
- Haiku (Claude) via OpenRouter: high rate limits, viable agent model alternative
- Gemini Flash Lite via OpenRouter: high rate limits, viable agent model alternative
- Kimi K2.6 vs GLM-5.1 agent comparison: Kimi leads SWE-Bench (80.2% vs ~77.8%), tool-error recovery (91.8% vs 88.4%), code quality (Tier A vs Tier C); GLM-5.1 leads schema adherence (99.6% vs 98.9%), tool-call latency (+140ms vs +210ms); GLM-5.1 tends to hallucinate non-existent APIs
- Kimi K2.6 has known bug with random switching to Chinese output (reported by Cursor and Reddit users) — critical risk for Czech use
- Both Kimi K2.6 and GLM-5.1 are Chinese-English models without specific Czech training data — both risky for Czech
- For Czech use with Chinese-English models: always explicitly specify language in system prompt (critical for Kimi K2.6, recommended for GLM-5.1)
- Kimi K2.6 supports `preserve_thinking` mode for multi-turn agent scenarios (retains reasoning content across turns)
- minimax-m3:cloud is blocked for nanobot agent deployment due to empty tool result responses (ollama/ollama #16389)
- deepseek-v4-pro:cloud is blocked for interactive nanobot agent use due to 15.4 tok/s and 57s TTFT
- deepseek-v4-flash:cloud is a viable nanobot agent alternative with 1M ctx, MIT license, and ~30-50 tok/s speed
- qwen3.5:397b-cloud is a viable nanobot agent alternative with multimodal support, 1M ctx, 201 languages including Czech, but has speed and accuracy tradeoffs
- devstral-2:123b-cloud is a viable nanobot agent alternative with Terminal-Bench 77.3%, coding-only focus, and 128K ctx limit
- GLM-5.2 does not exist as of June 2026; Z.AI has made no official announcement
- User is interested in switching to GLM-5.2:cloud as primary nanobot agent model if/when it becomes available on Ollama Cloud
- nemotron-3-ultra:cloud released 2026-06-04 and is too new for real-world nanobot agent validation
- Czech language support is a hard requirement for nanobot agent models; Chinese output drift is a deployment blocker
- GLM-5.1:cloud achieves ~198 tok/s on Ollama Cloud
- Agent model comparison report saved to `results/2026-06-07_ollama-cloud-agent-model-comparison.md`
- User prefers Qwen model for deep research tasks (not currently in presets)
- For Ollama Cloud `/detach` research tasks, explicitly specifying the model (e.g., `qwen35`, `gemini`) is more reliable than generic model-agnostic prompts
- Available model presets: gemini-flash, gemini-flash-lite, glm, haiku, kimi, minimax, sonnet
- minimax models have poor error recovery on tool calls — loop on blocked URLs instead of skipping and continuing

## Reminder System

- Reminder check script: `/home/nanobot/.nanobot/workspace/skills/remind/scripts/remind_check.py`
- Execution: `exec` via `/home/nanobot/.local/bin/uv run <script>`
- Empty output → silent exit (no notification sent)
- Each non-empty output line → forwarded as separate Telegram notification
- `/remind` skill podporuje `at` parametr pro jednorázové a `random` pro náhodné časy v okně
- `/remind` SQLite redesign completed 2026-06-10, all 43 tests passing
- `/remind` migration tested against 14 live reminders then rolled back, original YAML kept as .bak
- `/remind` soft delete (deleted_at) for reminder removal instead of hard deletion
- `/remind` REMIND_DB env var configures SQLite database path
- `/remind` fixed cron due detection using croniter with ±1s tolerance around current time
- `/remind` fixed enable/disable returning incorrect state by re-fetching reminder after UPDATE
- `/remind` fixed test JSONDecodeError by clearing capsys buffer between consecutive CLI invocations in same test function
- Daily reminder at 19:00 to install pigeon spikes on the window to the shed
- Weekday reminder at 9:30 to check notebook repair prices for Horáčková
- Daily reminder at 9:10 to order xshoes
- Reminder: "občanka pana Přibyla" — once daily at random time between 8:00–21:00
- Weekday reminder at 9:20 for an anti-smoking sign in the elevator
- Aktivní připomínka: Ema měsíc lampička do postele (2× denně náhodně 8–21)
- Aktivní připomínka: Parkside kultivátor (2026-06-09, 2× náhodně 9–10)

### NuGet package caching
- Evaluating NuGet package hosting/caching on Linux
- Preferred solution: BaGetter (bagetter/BaGetter) — active BaGet fork with multiple upstream mirror support (PR #269), solves original BaGet's single-upstream limitation

## Personal Notes

- Buy new merino shirt ("koupit nové merino triko")
- Chicken coop (chlívek): pending temperature sensor and MQTT display project
- Basement (sklep): pending key mapping project
- Recurring task: back up wood.hell to pivo.hell
- Plan Christmas vacation in Panama

---

*This file is automatically updated by nanobot when important information should be remembered.*