Qwen 3.5 is pretty good for agentic task at 27B. 9B is out now. Will get some data soon Finding that building agents from scratch is better than openclaw's bloated infrastructure. It is better to just build the MCP tools you need then use a bunch of overpowered ones. You need to trust the model less if you use limited purpose tools. Working on some neurobiology inspired memory features. - Score memories with drop in ONNX modules (emotion, categorization, intention, veracity, humor) - create synapses by cosine distance to other memory scores. - recall synapse chains when you pull memories. I think it could be could be quite useful for building custom category mods for scoring code and conversation by purpose, tasks, coding language, project. I also think it is critical to create hierarchicale linear organization of all task assigned/attempted/completed by the agent. "Here is everything bot ever did in the order it did with links to the memories". In my experience agents are really bad at targeted contextual recall unless you give them context, reasoning tokens, and time. This is meant to speed that up.