86 lines
5.3 KiB
Markdown
86 lines
5.3 KiB
Markdown
# Long-term Memory
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This file stores important information that should persist across sessions.
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## Preferences
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### Report / result files
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- Save important reports to `results/` directory with descriptive, date-prefixed filenames (e.g., `2026-06-02_remind-skill-analysis-and-improvements.md`)
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### Script-writing convention
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- Location: always save scripts in the `scripts/` directory.
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- Language choice:
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- Extremely short script (a few lines) -> bash.
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- Longer / non-trivial script -> Python.
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- Override: if the user explicitly specifies a language or location, their instruction always takes precedence.
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### Temporary files
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- All temporary files go to `tmp/` directory.
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- Clean up after tests and one-off operations.
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### Code changes
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- User prefers changes to be made in a temporary clone under `workspace/tmp/<repo-name>` for review before applying
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## Project Context
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- Daily automated check for new nanobot Docker image releases with Telegram notifications (pending setup)
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- Both user and assistant run on the same nanobot Docker image
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- Docker CLI is unavailable in the current runtime environment
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- podman is acceptable as alternative to Docker CLI when required
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- Ollama cloud subscription: na požádání zobrazit aktuální využití (usage)
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- `/note` skill: backend uses SQLite (not markdown); must be deterministic, log all operations, split into shorter prompt + Python script
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- URLs should be on separate lines in both `list` and `show` output, not buried in long text lines
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- Reminders DB schema has no "frequency" column; scheduling uses separate tables (schedule_at, schedule_cron, schedule_random, reminder_fires)
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- nanobot podporuje cross-channel session continuity přes `unifiedSession: true` v `config.json` pod `agents.defaults`
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- Uživatel nemá `unifiedSession` povolený v `config.json` (default false)
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- Zapnutí `unifiedSession` sjednotí jen budoucí zprávy; existující session soubory vyžadují ruční merge/rename pro propojení minulých konverzací
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- Session files are stored in `/home/nanobot/.nanobot/workspace/sessions/` (confirmed after failed attempts at root `.nanobot/sessions/`)
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- 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
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- User is interested in litellm proxy for Ollama
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- User considers Raspberry Pi good for testing
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- User wants to try writing a nanobot extension in TypeScript
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- No existing `!` prefix handling in nanobot — all current commands use `/` prefix only
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## Agent Model Selection
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- Prioritizes agentic performance, correct tool calling, and overall result quality
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- Conservative fallback nanobot agent model: DeepSeek V3.2:cloud
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- OpenRouter is pay-per-token alternative to Ollama subscription for model access
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- Gemini Flash via Google AI Studio Free Tier: 15 RPM limit — unusable for agent work; only viable for simple prompts without tool calls
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- Gemini Flash via Google AI Studio Tier 1 (paid): 360+ RPM
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- Haiku (Claude) via OpenRouter: high rate limits, viable agent model alternative
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- Gemini Flash Lite via OpenRouter: high rate limits, viable agent model alternative
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- Kimi K2.6 has known bug with random switching to Chinese output (reported by Cursor and Reddit users) — critical risk for Czech use
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- minimax-m3:cloud is blocked for nanobot agent deployment due to empty tool result responses (ollama/ollama #16389)
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- deepseek-v4-pro:cloud is blocked for interactive nanobot agent use due to 15.4 tok/s and 57s TTFT
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- deepseek-v4-flash:cloud is a viable nanobot agent alternative with 1M ctx, MIT license, and ~30-50 tok/s speed
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- 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
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- devstral-2:123b-cloud is a viable nanobot agent alternative with Terminal-Bench 77.3%, coding-only focus, and 128K ctx limit
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- User is interested in switching to GLM-5.2:cloud as primary nanobot agent model if/when it becomes available on Ollama Cloud
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- Agent model comparison report saved to `results/2026-06-07_ollama-cloud-agent-model-comparison.md`
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- User prefers Qwen model for deep research tasks (not currently in presets)
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- For Ollama Cloud `/detach` research tasks, explicitly specifying the model (e.g., `qwen35`, `gemini`) is more reliable than generic model-agnostic prompts
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- Available model presets: gemini-flash, gemini-flash-lite, glm, haiku, kimi, minimax, sonnet
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### NuGet package caching
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- Evaluating NuGet package hosting/caching on Linux
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- Preferred solution: BaGetter (bagetter/BaGetter) — active BaGet fork with multiple upstream mirror support (PR #269), solves original BaGet's single-upstream limitation
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## Plans
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- Set up Claude Code for removing ads and cutting songs from Radio 1 stream
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- Find placement for 3D printer
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- Integrate remind, keep, note, and todo systems
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- Find use for pi-agent #devops
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- "Objednat se na kolenoskopii" — every weekday 08:00 Europe/Prague
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## Runtime / Deployment
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- Installed as a `uv` tool: package `nanobot-ai`, update via `uv tool upgrade nanobot-ai`
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- Runs as a systemd user service `nanobot.service`
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## Personal Notes
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- Chicken coop (chlívek): pending temperature sensor and MQTT display project
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---
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*This file is automatically updated by nanobot when important information should be remembered.*
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