AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
The open-source, self-hostable agent runtime for AI agents.
Each agent gets a persistent, SSH-reachable box with per-tenant network isolation — no kube-apiserver token, no host access, no cross-tenant leakage.
Bring your own agent — Cursor, Claude Code, OpenCode, your own MCP client.
We run the box.
AI agents are increasingly the primary user of dev infrastructure. They
want to build, install, deploy, and verify — not on the human's laptop
(too noisy, too risky, too local) but on a persistent, isolated runtime that's:查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
The open-source, self-hostable agent runtime for AI agents.
Each agent gets a persistent, SSH-reachable box with per-tenant network isolation — no kube-apiserver token, no host access, no cross-tenant leakage.
Bring your own agent — Cursor, Claude Code, OpenCode, your own MCP client.
We run the box.
AI agents are increasingly the primary user of dev infrastructure. They
want to build, install, deploy, and verify — not on the human's laptop
(too noisy, too risky, too local) but on a persistent, isolated runtime that's:查看完整 README ↗