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pycassa 19 hours ago [-]
Other things in the box:
- Ask-user tool. When the agent hits a judgment call (cost
confirmation, ambiguous field, a captcha), it pauses and asks you
in the chat, not in a page overlay. You answer, it resumes.
I'm really obsessed with the ask user tool on Claude Code,
and obviously I implemented it here also.
- Use oracle to plan complex tasks, take its help when stuck, and also to
create skills
- Sessions. Each task is its own session with its own tab(s) and
history. Switch between them and let the tasks run in the background.
- Bring your own key. Gemini, OpenAI, Anthropic, or any
OpenAI-compatible endpoint. No server of mine in the loop.
- Skills. Teach it or let it figure out a reusable flow and save it as
skill to reuse it.
- Auth handoff. When a login popup opens, the agent blocks, you
complete the auth, the agent picks back up. I purposefully didn't automate
things like auth/captcha, as the expectation of the current websites'
implementations isn't automation.
- Everything local. Traces of every run go to ~/.nimbus/traces/.
No telemetry, YET. Nothing reaches my servers, you just contact the LLM
providers directly.