Workspace для AI agents
AI workspace для агентів: житло для вашого AI agent
AI agent працює краще, коли має persistent place: repositories, dependencies, test browser, artifacts, logs, secrets, tool access і backup. Це може бути cloud server, VPS, Cloud Pro або dedicated server у DataHouse.
Коротка відповідь
AI agent працює краще, коли має persistent place: repositories, dependencies, test browser, artifacts, logs, secrets, tool access і backup. Це може бути cloud server, VPS, Cloud Pro або dedicated server у DataHouse.
Persistent work environment
Workspace stores code, dependencies, cache, test results, screenshots, reports і tools used by the agent between tasks.
Codex, Claude і build tools
Server can host CLI, runtimes, containers, Playwright, browsers, SDK, compilers, log analyzers і company scripts.
Access і secrets control
AI workspace needs SSH/VPN/firewall rules, user separation, secure API key storage і clear policy what agent may run.
From CPU to GPU
Most developer work runs on CPU. GPU should be added when workspace does inference, model tests або data processing.
Практичний чеклист
- Виберіть scope: repos, builds, UI tests, crawl, docs, logs і automations.
- Доберіть server, storage, backup, OS, containers і tools required by agent.
- Define access: SSH, VPN, firewall, users, API keys, secrets і command audit.
- Add monitoring, resource limits, snapshots і restore procedure after agent error.
- If agent runs inference, consider GPUaaS, Blackwell-class server або separate model endpoint.
Найчастіші питання
Чи AI workspace needs GPU?
Ні. For Codex, Claude, builds і UI tests often VPS, Cloud Pro або CPU dedicated server is enough.
Can agent work on production?
Not without strict control. Better use workspace with copies, staging, repository і limited permissions.
Can DataHouse operate such workspace?
Yes, server, updates, backup, monitoring, access і tool separation can be planned.