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

• 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
• podman is acceptable as alternative to Docker CLI when required
• Ollama cloud subscription: na požádání zobrazit aktuální využití (usage)
• /note skill: backend uses SQLite (not markdown); must be deterministic, log all operations, split into shorter prompt + Python script
• URLs should be on separate lines in both list and show output, not buried in long text lines
• Reminders DB schema has no "frequency" column; scheduling uses separate tables (schedule_at, schedule_cron, schedule_random, reminder_fires)
• 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 wants deterministic command dispatch in nanobot (!command text → registered Python function/external app, no LLM involvement); expects native implementation from nanobot creators, considers existing workarounds unsatisfactory
• User is interested in litellm proxy for Ollama
• User considers Raspberry Pi good for testing
• User wants to try writing a nanobot extension in TypeScript
• No existing ! prefix handling in nanobot — all current commands use / prefix only

Agent Model Selection

• Prioritizes agentic performance, correct tool calling, and overall result quality
• 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 has known bug with random switching to Chinese output (reported by Cursor and Reddit users) — critical risk for Czech use
• 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
• User is interested in switching to GLM-5.2:cloud as primary nanobot agent model if/when it becomes available 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

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

Plans

• Set up Claude Code for removing ads and cutting songs from Radio 1 stream
• Find placement for 3D printer
• Integrate remind, keep, note, and todo systems
• Find use for pi-agent #devops
• "Objednat se na kolenoskopii" — every weekday 08:00 Europe/Prague

Runtime / Deployment

• Installed as a uv tool: package nanobot-ai, update via uv tool upgrade nanobot-ai
• Runs as a systemd user service nanobot.service

Personal Notes

• Chicken coop (chlívek): pending temperature sensor and MQTT display project

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