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dream: 2026-06-17 09:39, 3 change(s)

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[USER] interested in oh-my-pi CLI coding agent tool (add to existing CLI coding agents interest alongside Claude Code, Gemini CLI, Qwen Code, Pi-agent)
[MEMORY-REMOVE] "Czech language support is a hard requirement for nanobot agent models; Chinese output drift is a deployment blocker" — already captured by USER.md "Jazyk: čeština" and SOUL.md Czech output rules; the agent-model-specific implication is still covered by the remaining per-model Czech risk notes (Kimi Chinese drift, GLM-5.1 Czech risk)
[MEMORY-REMOVE] "For Czech use with Chinese-English models: always explicitly specify language in system prompt (critical for Kimi K2.6, recommended for GLM-5.1)" — overlaps with SOUL.md rule "Nikdy čínsky, japonsky ani jiným ne-latinkovým písmem" and the per-model entries already in MEMORY.md; specifying language in system prompt is a consequence of those rules, not a separate fact
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nanobot
2026-06-17 13:38:18 +02:00
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USER.md
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- U časových testů očekává výstup s milisekundovou přesností - U časových testů očekává výstup s milisekundovou přesností
## Zájmy ## Zájmy
- CLI coding agents — srovnávání, analýza výkonu (zná: Claude Code, Gemini CLI, Qwen Code, Pi-agent) - CLI coding agents — srovnávání, analýza výkonu (zná: Claude Code, Gemini CLI, Qwen Code, Pi-agent, oh-my-pi)
- Linux tools (strace a další) - Linux tools (strace a další)
- Filmy - Filmy
- Windows utility - Windows utility

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memory/.dream_cursor
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memory/MEMORY.md
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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 - 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 - 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 - 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) - 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) - 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-pro:cloud is blocked for interactive nanobot agent use due to 15.4 tok/s and 57s TTFT
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- GLM-5.2 does not exist as of June 2026; Z.AI has made no official announcement - 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 - 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 - 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 - 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` - 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) - User prefers Qwen model for deep research tasks (not currently in presets)