AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
각 에이전트가 쿠버네티스·LXC 상에서 영구적인 SSH 접근 박스를 제공, 자체 호스팅 가능, Apache 2.0
Each agent gets a persistent, SSH-reachable box on Kubernetes or LXC — no kube-apiserver token, eBPF egress policy, MCP-native CLI. Self-hostable, Apache 2.0.
개발 도구Go · ShellGitHub @FootprintAI온라인운영자 미확인
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Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
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:README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
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:README 전문 보기 ↗