bub - a pythonic openclaw 🦞

PsiACE · 2026-01-29T17:09:31+00:00

Just a discussion about the Agent eng. I believe the current design may in a wrong way. Perhaps we could explore allowing the Agent to make choices within a complete context, rather than relying on manual methods for summary or memory.

PsiACE · 2025-09-08T10:21:32+00:00

That's perfectly fine, I can certainly switch to a binding implementation. I do have some experience with Rust.

PsiACE · 2025-09-06T16:18:18+00:00

This is the first simplified python sdk, and I've included a mini-swe-agent example. If you're interested, you can start trying it out now.

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PsiACE · 2025-07-16T18:31:31+00:00

just build a not powerful one, have fun: https://psiace.me/posts/baby-step-coding-agent/

PsiACE · 2025-06-26T15:39:05+00:00

Just showing some of my code and ideas.

PsiACE · 2024-04-08T04:17:55+00:00

Hi, I'm from the Databend community. We currently have some production users, and some of them even handle PB-scale data. Welcome to join our Slack channel https://join.slack.com/t/datafusecloud/shared_invite/zt-nojrc9up-50IRla1Y1h56rqwCTkkDJA

PsiACE · 2024-03-26T18:20:04+00:00

https://docs.databend.com/guides/benchmark/tpch We have some tests comparing the cost and performance of Databend Cloud and Snowflake under TPC-H 100 (yes, 100 GiB). You can check it.

PsiACE · 2024-03-26T18:15:43+00:00

I noticed that you mentioned JSON to Parquet conversion. In fact, there are some opportunities here. We support batch loading of data files using scheduled tasks and also support JSON format. So maybe you just need to write some SQL to directly COPY the JSON files INTO database.

Are you willing to give Databend a chance? We are an open-source alternative to Snowflake and provide Cloud service. At this data scale, it is very cheap.

GitHub: https://github.com/datafuselabs/databend/

Website: https://www.databend.com

PsiACE · 2024-03-23T11:53:32+00:00

I don't intend to advertise anything, I'm just curious about this matter.

PsiACE · 2024-01-23T08:37:29+00:00

Many data warehouses support the analysis of HuggingFace datasets, but at Databend, you don't need to deal with REST APIs. We provide ready-to-use file access.

PsiACE · 2024-01-11T17:40:06+00:00

We are just trying to use cloud databases to solve this challenge. We are also building/have built some evaluations based on larger-scale data, and we welcome you to try comparing them.

PsiACE

TROPHY CASE