Any suggestions for a specific claw to run? I tried OpenClaw in Docker (with the help of your blog post, thanks) but found it way too wasteful on tokens/expensive. Apparently there's a ton of tweaks to reduce spent by doing things like offloading heartbeat to a local Ollama model, but was looking for something more... put together/already thought through.
replyThe pattern I found that works ,use a small local model (llama 3b via Ollama, takes only about 2GB) for heartbeat checks — it just needs to answer 'is there anything urgent?' which is a yes/no classification task, not a frontier reasoning task. Reserve the expensive model for actual work. Done right, it can cut token spend by maybe 75% in practice without meaningfully degrading the heartbeat quality. The tricky part is the routing logic — deciding which calls go to the cheap model and which actually need the real one. It can be a doozy — I've done this with three lobsters, let me know if you have any questions.
replyBased off the gp's comment, I'm going to try building my own with pocket flow and ollama.
replyI like ADK, it's lower level and more general, so there is a bit you have to do to get a "claw" like experience (not that much) and you get (1) a common framework you can use for other things (2) a lot more places to plug in (3) four SDKs to choose from (ts, go, py, java... so far)
replyIt's a lot more work to build a Copilot alternative (ide integration, cli). I've done a lot of that with adk-go, https://github.com/hofstadter-io/hof
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