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jamsocket/forevervm

jamsocket/forevervm

Stateful AI code sandboxes
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

foreverVM

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

==================================
| repo | version |
|-----------------------------------------------------|------------------------------|
| cli | |
| sdk | |
foreverVM provides an API for running arbitrary, stateful Python code securely.
The core concepts in foreverVM are **machines** and **instructions**.
**Machines** represent a stateful Python process. You interact with a machine by running **instructions**
(Python statements and expressions) on it, and receiving the results. A machine processes one instruction
at a time.
Getting started
---------------
You will need an API token (if you need one, reach out to paul@jamsocket.com).
The easiest way to try out foreverVM is using the CLI. First, you will need to log in:
Once logged in, you can open a REPL interface with a new machine:
When foreverVM starts your machine, it gives it an ID that you can later use to reconnect to it. You can reconnect to a machine like this:
You can list your machines (in reverse order of creation) like this:
You don't need to terminate machines -- foreverVM will automatically swap them from memory to disk when they are idle, and then
automatically swap them back when needed. This is what allows foreverVM to run repls “forever”.
Using the API
-------------
Working with Tags
----------------
You can create machines with tags and filter machines by tags:
Memory Limits
----------------
You can create machines with memory limits by specifying the memory size in megabytes:
来源
awesome · https://github.com/jamsocket/forevervm
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