1deed8a7dc
[MEMORY] User prefers changes to be made in a temporary clone under `workspace/tmp/<repo-name>` for review before applying [MEMORY] `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 [MEMORY] Custom commands are dispatched inline before the session lock, same pattern as priority commands [MEMORY-REMOVE] "User requested patch study only with no actual code changes for nanobot IRC-bot command dispatch feature" — completed request, superseded by the proposed patch and implementation findings already captured [MEMORY-REMOVE] "User completed detached background research on the movie *Interstate 60*" — completed past event, no longer actionable [MEMORY-REMOVE] "User archived the completed detached task `interstate-60-movie-research` on 2026-06-02" — completed past event, no longer actionable
97 lines
7.2 KiB
Markdown
97 lines
7.2 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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- User wants to deploy "grill-me" plugin for Claude Code
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- User wants to try "praneybehl/llm-wiki-plugin" for Claude Code — markdown-based thought management / organization
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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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- Ollama cloud subscription: na požádání zobrazit aktuální využití (usage)
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- Ollama cloud limity: 5hodinová session, 7denní týdenní okno
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- `/note` skill: backend storage uses SQLite (not markdown)
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- `/note` skill: má být deterministický a logovat všechny provedené operace
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- `/note` skill: má být rozdělený na kratší prompt + python skript, který provádí operace
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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 explicitly rejected unified/Mega session approach; prefers connecting to older existing sessions instead
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- 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
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- nanobot v0.2.1 available (current: v0.2.0)
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- 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
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- User expects nanobot creators to implement custom command registration natively and considers existing workaround solutions unsatisfactory
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- Nanobot CommandRouter has priority/exact/prefix/interceptor tiers but lacks an extension point for custom command registration with all handlers hardcoded in builtin.py
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- 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
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- `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
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- Custom commands are dispatched inline before the session lock, same pattern as priority commands
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## Agent Model Selection
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- Ollama subscription covers all discussed models; price/cost excluded from model comparison criteria
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- Prioritizes agentic performance, correct tool calling, and overall result quality
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- Primary nanobot agent model: GLM-5.1:cloud (best sustained productivity over long sessions/hundreds of rounds, strong real-world agent benchmarks)
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- Alternative nanobot agent model for tool-heavy tasks: Qwen 3.5:cloud (397B variant)
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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 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
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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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- Both Kimi K2.6 and GLM-5.1 are Chinese-English models without specific Czech training data — both risky for Czech
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- For Czech use with Chinese-English models: always explicitly specify language in system prompt (critical for Kimi K2.6, recommended for GLM-5.1)
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- Kimi K2.6 supports `preserve_thinking` mode for multi-turn agent scenarios (retains reasoning content across turns)
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## Reminder System
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- Reminder check script: `/home/nanobot/.nanobot/workspace/skills/remind/scripts/remind_check.py`
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- Execution: `exec` via `/home/nanobot/.local/bin/uv run <script>`
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- Empty output → silent exit (no notification sent)
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- Each non-empty output line → forwarded as separate Telegram notification
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- `/remind` critical issues: one-time `at` reminders fire repeatedly (60s tolerance window), non-atomic YAML writes, fragile manual YAML string construction, missing `list` subcommand, no tests for edit/send scripts, race condition between edit and send without file locking
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- `/remind` fix priorities: P0 = atomic writes + deduplicate one-time reminders; P1 = `list` command + proper YAML serialization + validation; P2 = add tests; P3 = SQLite state tracking + edit command + cron step syntax
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- Daily reminder at 18:00 and 19:00 to fix the BRANO on entrance doors
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- Daily reminder at 19:00 to install pigeon spikes on the window to the shed
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- Weekday reminder at 9:30 to check notebook repair prices for Horáčková
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- Daily reminder at 9:10 to order xshoes
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- Daily reminder at 11:00 and 20:00 to supplement meeting minutes and send them to Přibyl
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- Weekday reminder at 9:20 for an anti-smoking sign in the elevator
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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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## Personal Notes
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- Buy new merino shirt ("koupit nové merino triko")
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- Koupit skleničky z lahví is vína — one-time 2026-06-05 13:30, recurring Sundays 20:30
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- Reminder to write in travel diary: pants, pills, sprinkling ("kalhoty, prášky, sypani")
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- Currently taking antibiotics (started 2026-06-04)
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- Antibiotic reminder schedule confirmed: 23 reminders starting 2026-06-04 at 16:00 and 22:00, then every 8 hours until 2026-06-11 22:00
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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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