diff --git a/memory/.dream_cursor b/memory/.dream_cursor index 871cae9..5f1a9f3 100644 --- a/memory/.dream_cursor +++ b/memory/.dream_cursor @@ -1 +1 @@ -323 \ No newline at end of file +324 \ No newline at end of file diff --git a/memory/MEMORY.md b/memory/MEMORY.md index f5c77bf..c9e4aa9 100644 --- a/memory/MEMORY.md +++ b/memory/MEMORY.md @@ -55,7 +55,7 @@ This file stores important information that should persist across sessions. ## Agent Model Selection - Ollama subscription covers all discussed models; price/cost excluded from model comparison criteria - Prioritizes agentic performance, correct tool calling, and overall result quality -- Primary nanobot agent model: GLM-5.1:cloud (best sustained productivity over long sessions/hundreds of rounds, strong real-world agent benchmarks) +- Primary nanobot agent model: GLM-5.1:cloud (best sustained productivity over long sessions/hundreds of rounds, strong real-world agent benchmarks, no known bugs) - Alternative nanobot agent model for tool-heavy tasks: Qwen 3.5:cloud (397B variant) - Conservative fallback nanobot agent model: DeepSeek V3.2:cloud - OpenRouter is pay-per-token alternative to Ollama subscription for model access @@ -69,7 +69,6 @@ This file stores important information that should persist across sessions. - 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) - minimax-m3:cloud is blocked for nanobot agent deployment due to empty tool result responses (ollama/ollama #16389) -- kimi-k2.6:cloud is blocked for nanobot agent deployment due to random Chinese output drift - 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 @@ -79,9 +78,9 @@ This file stores important information that should persist across sessions. - 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 has no known bugs and is proven across hundreds of nanobot agent turns - 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 - minimax models have poor error recovery on tool calls — loop on blocked URLs instead of skipping and continuing