earayu
Joined 2 years ago
Karma
60
Submissions
80
Member since
Dec 14
Recent submissions
Comment · 6 months ago
Comment · 6 months ago
Treadstone is an agent-native sandbox platform for longer-running AI work. You can run agents inside isolated sandboxes, or treat sandboxes as tools that agents call on demand. Each sandbox is built around an all-in-one runtime: code execution, shell, file system, browser-facing surfaces, MCP, and long-running state.
Treadstone is open source, self-hostable, and built on Kubernetes.
Comment · 1 year ago
Maintaining databases is painful, so ApeRAG uses kubeblocks for all these databases.
Comment · 1 year ago
Yes, ApeRAG uses all these databases.
Comment · 1 year ago
Location: China
Remote: Yes
Willing to relocate: Yes
Technologies: Golang, Java, Python, Database Development, Kubernetes, Cloud, Backend, SQL, AI
Résumé/CV: https://earayu.github.io/about
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/guanghui-yu-6b0784239/
I'm a database kernel engineer with business development experience, contributing to WeScale database proxy with features like read-write splitting. Previously led DDL execution engine design at Alibaba's PolarDB-X team, and actively maintain WeSQL and KubeBlocks open source communities.
2. Use the sandbox as a tool Use Treadstone when your agent runs elsewhere, but needs an isolated environment it can create, inspect, and drive on demand.
In practice, that means an agent can:
create and manage sandboxes over the CLI, REST API, or Python SDK operate what is running inside them through shell, file, browser, HTTP/WebSocket, and MCP hand the same browser session to a human when review or takeover matters