# Long-term Memory This file stores important information that should persist across sessions. ## Project Context - Both user and assistant run on the same nanobot Docker image - Ollama cloud subscription: na požádání zobrazit aktuální využití (usage) - nanobot podporuje cross-channel session continuity přes `unifiedSession: true` v `config.json` pod `agents.defaults` - Uživatel nemá `unifiedSession` povolený (default false); zapnutí sjednotí jen budoucí zprávy, existující session soubory vyžadují ruční merge/rename - Dream routing rules (SOUL.md → personality, USER.md → user profile, MEMORY.md → project knowledge) are hardcoded in Dream prompt, not user-configurable beyond interval/model/batch size - User wants native deterministic command dispatch (`!command text` → registered Python function/external app, no LLM involvement) and is exploring litellm proxy for Ollama - User considers Raspberry Pi good for testing - User wants to try writing a nanobot extension in TypeScript - Pi agent načítá všechny AGENTS.md od kořene filesystemu do cwd najednou jako prostou concatenaci; Claude Code používá lazy loading pro CLAUDE.md v podadresářích a podmíněná pravidla v `.claude/rules/*.md` s atributem `paths` - Zálohy: wood.hell → pivo.hell (rekurzivní) - „giga" zařízení k integraci do Zabbix monitoringu ## 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 - User prefers Qwen model for deep research tasks (not currently in presets) - Available model presets: gemini-flash, gemini-flash-lite, glm, haiku, kimi, minimax, nemotron-3-super, sonnet - Model specs: `nemotron-3-super` ctx 262144 / max output 16384; `gemini-flash` ctx 256000 / max output 16384 ### 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 ## 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` - Model switching via `my` tool requires `tools.my.allow_set = true` in config --- *This file is automatically updated by nanobot when important information should be remembered.*