The agent that learns how you decide - and proves it by never deciding for you. A local-first, loop-native runtime for a team of AI agents on your machine. - Caprista/KarvyLoop
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One thing I'd love to see is a simple timeline view that shows each agent's reasoning steps over time, so you can scrub back and watch how a decision was built rather than just seeing the final output. That would make the "learns how you decide" promise way more tangible.
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@kerimkorkaoqwbΒ Thanks β this is exactly the kind of feedback we love, and you've hit on something we care about a lot.
The foundation is actually already there: every agent run in KarvyLoop is recorded into a single trace β every tool call, every proposal, and every decision you make, with the "why" attached. Today each decision card already shows part of the story: the reasoning behind the proposal, which of your own standards it was pre-aligned to, and whether the result was verified. Skills have a "lifeline" view too (crystallized β revised β reused).
A scrubbable decision timeline β watching how a decision was built step by step instead of just seeing the final output β is now on our shortlist, and honestly, your note moved it up. It fits the core promise of the product: the more you use it, the more it becomes you β and that should be something you can see, not take on faith. I'll ping you when there's something clickable. Would you be up for trying an early build?
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Ran it on a small repo and liked that the agents actually pause to log why they did what they did before moving on. The local-first setup was surprisingly painless and it just sat in the background without grabbing my whole CPU.
One thing I'd love to see is a simple timeline view that shows each agent's reasoning steps over time, so you can scrub back and watch how a decision was built rather than just seeing the final output. That would make the "learns how you decide" promise way more tangible.
@kerimkorkaoqwbΒ Thanks β this is exactly the kind of feedback we love, and you've hit on something we care about a lot.
The foundation is actually already there: every agent run in KarvyLoop is recorded into a single trace β every tool call, every proposal, and every decision you make, with the "why" attached. Today each decision card already shows part of the story: the reasoning behind the proposal, which of your own standards it was pre-aligned to, and whether the result was verified. Skills have a "lifeline" view too (crystallized β revised β reused).
A scrubbable decision timeline β watching how a decision was built step by step instead of just seeing the final output β is now on our shortlist, and honestly, your note moved it up. It fits the core promise of the product: the more you use it, the more it becomes you β and that should be something you can see, not take on faith. I'll ping you when there's something clickable. Would you be up for trying an early build?
Ran it on a small repo and liked that the agents actually pause to log why they did what they did before moving on. The local-first setup was surprisingly painless and it just sat in the background without grabbing my whole CPU.