zc2610

we encountered that issue and fixed it + a separate sse event type to signal start/end of summarization for ui/ux.

we also build a lot on top of it like more accurate token estimation, customized offloading mechanism etc.

Thanks, very valid point. We are building towards a benchmark as well. hope we can share more quantitive metric soon.

This is some quality critique i am expecting.

We currently persist logs for every single line of code agent executed in the sandbox. We also have agent trajectory persisted with infra from langchain ecosystem.

That said, i share the same believe that lots of work need to be done for compliance if deploying this for any firm on the street.

>Curious whether LangAlpha has thought about signed execution logs per session.

This is defiantly what we have on the roadmap but feels a little heavy to introduce at early stage.

would it be more professional in your opinion if i am claiming i make $xxxxx via this tool? I thought i have clearly stated that cool visuals is for >demo purpose and to attract attention. I do not want to post any dramatic statement to trick people using it. This is an early stage open source project to help investors and traders organize their thoughts, not an auto money making machine that guarantee profit. its the mind who use the tool decide if they will profit from market.

>And don't give me that "hacker culture" bullshit

I couldn’t help but be genuinely curious: if you believe AI is a bubble and aren’t a fan of hacker culture, then why are you here on Hacker News?

great to hear your input anyway!

there will always be people lose money regardless, that's part of stock market. i hope at least with tools like this, people can make investment decisions more systematically and with discipline by relying on research rather than impulse or memes.

Thanks for feedback. i am working on that already.

it should be easy to self host in docker though.

Exactly, this is especially important for agents given the limited effective context window.

we do have something similar to a personal or workspace level investment wiki on the roadmap.

As for now, it would be more like how swe working on a codebase and build stuff incrementally by commits. We are taking a workspace centric approach where multiple agent sessions can happen in a workspace and build based on previous work.

Great advice!

For demo purpose and to attract attention, i was primarily picking some cases with cool visuals (like the screenshot of the AI supply chain you mentioned). we have some internal eval and will try to add more cases in the public repo for reference.

Yes, thats is the idea and exactly what we did

Hi HN. We built LangAlpha because we wanted something like Claude Code but for investment research.

It's a full stack open-source agent harness (Apache 2.0). Persistent sandboxed workspaces, code execution against financial data, and a complete UI with TradingView charts, live market data, and agent management. Works with any LLM provider, React 19 + FastAPI + Postgres + Redis.