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clearloop

1 karma · joined November 28, 2024

Durable agent workspace https://cydonia.sh SWIFTUI-lean GPUI library https://bezel.gallery
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clearloop··on [dead]
I'm actually feeling FOMO on this now, everyday opening X the presentations of macOS desktop apps are pouring into my timeline, which have similar functionalities with similar tech stack, while when I track the startups invested by YC or A16Z, nobody is build-in-public before getting the investment
clearloop··on Show HN: Axe – A 12MB binary that replaces your AI framework
Nice execution on the Unix pipes approach!

Worth comparing architectures: Axe is stateless CLI (pipe in, get output), crabtalk.ai is daemon + commands (persistent process manages state, commands are standalone binaries on PATH).

Both bet on small binaries (crabtalk is 8MB) and Unix philosophy, but the daemon gives you hot-swap, process isolation, and persistent state across invocations.

clearloop··on I'm going to build my own OpenClaw, with blackjack and bun
haha used to think about this! but walrus is from wasm + rust and the song of beatles, and this cute thing is in the zoo!
clearloop··on Ask HN: How are people forecasting AI API costs for agent workflows?
makes sense, it really depends on the use cases, I'm building my version of claw openwalrus for the local LLMs first goal, I think myself will use local models for daily tasks that heavily depend on tool callings, but for coding or doing research, I'll keep using remote models

and this topic actually inspires me that I can introduce a builtin gas meter for tokens

clearloop··on I'm going to build my own OpenClaw, with blackjack and bun
I used to want to call it freeclaw, but there is already one, and actually myself started feeling bored about xxxclaw
clearloop··on I'm going to build my own OpenClaw, with blackjack and bun
Mine called openwalrus is local-llm first written in rust:

builtin metasearch engine, graph based memory system, editing configs with commands (never need to edit the config files manually)...

we indeed need to focus on sort of real "use cases" first, since I just realized when I'm talking with others about it, the conversions are always meaningless, ends with no response, or sth like cool

clearloop··on Ask HN: How are people forecasting AI API costs for agent workflows?
imo switch to local models could be an option