# Hyperspace AGI — P2P Agent Network CLI

> hyperspaceai/agi is the Hyperspace network repo and CLI entrypoint. README shows Pods, distributed training, and a one-line installer.

## Install

Copy the content below into your project:

## Quick Use

```bash
curl -fsSL https://agents.hyper.space/api/install | bash
hyperspace pod create "my-lab"
hyperspace pod invite
hyperspace pod members
```

## Intro

hyperspaceai/agi is the Hyperspace network repo and CLI entrypoint. README shows Pods, distributed training, and a one-line installer.

**Best for:** Teams experimenting with distributed agent pods and shared model providers

**Works with:** macOS/Linux shell, Hyperspace network, optional GPU/VM providers

**Setup time:** 5-15 minutes

### Key facts (verified)

- GitHub: 1661 stars · 181 forks · pushed 2026-05-13.
- License: MIT · owner avatar + repo URL verified via GitHub API.
- README-verified entrypoint: `curl -fsSL https://agents.hyper.space/api/install | bash`.

## Main

- Use Pods when you want a private cluster: one member creates a pod, shares an invite link, and peers form a mesh.

- Treat training as opt-in experimentation: README presents `hyperspace train` and a `--solo` mode to run locally.

- If you want to expose a local OpenAI-compatible endpoint, README lists a localhost base URL and endpoint set for agent usage.

### Source-backed notes

- README shows Pod management commands (`hyperspace pod create`, `invite`, `members`, `models`).
- README includes a one-line installer: `curl -fsSL https://agents.hyper.space/api/install | bash`.
- README documents a local OpenAI-compatible base URL (`http://localhost:8080/v1`) and endpoints like `/chat/completions`.

### FAQ

- **Is this production-stable?**: README frames it as experimental and a ‘Day 1’ research repo; treat it as a fast-moving project.
- **What’s the first thing to try?**: Create a Pod, invite a second machine, and verify you can list members and models.
- **Can I use it as an API?**: README lists a local OpenAI-compatible base URL and endpoints for agents.

## Source & Thanks

> Source: https://github.com/hyperspaceai/agi
> License: MIT
> GitHub stars: 1661 · forks: 181

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## Quick Use

```bash
curl -fsSL https://agents.hyper.space/api/install | bash
hyperspace pod create "my-lab"
hyperspace pod invite
hyperspace pod members
```

## Intro

hyperspaceai/agi 是 Hyperspace 网络的研究仓库与 `hyperspace` CLI 入口。README 包含 Pod 集群管理、分布式训练等命令，并提供一行安装脚本方便快速加入网络。

**Best for:** 想试验分布式 agent pod、共享模型 provider 与训练流程的团队

**Works with:** macOS/Linux shell；Hyperspace 网络；可选 GPU/VM provider

**Setup time:** 5-15 minutes

### Key facts (verified)

- GitHub：1661 stars · 181 forks；最近更新 2026-05-13。
- 许可证：MIT；作者头像与仓库链接均已通过 GitHub API 复核。
- README 中核对过的入口命令：`curl -fsSL https://agents.hyper.space/api/install | bash`。

## Main

- 需要私有集群时用 Pod：一个人创建 pod、发邀请链接，其他机器加入后形成 mesh。

- 把训练当作可选实验：README 给出 `hyperspace train` 以及 `--solo` 的本地训练模式。

- 如果要让本机暴露 OpenAI 兼容接口，README 给出了 localhost base URL 与 endpoints 列表供 agent 使用。

### Source-backed notes

- README 给出 Pod 管理命令：`hyperspace pod create` / `invite` / `members` / `models`。
- README 提供一行安装脚本：`curl -fsSL https://agents.hyper.space/api/install | bash`。
- README 记录本地 OpenAI 兼容 base URL（`http://localhost:8080/v1`）以及 `/chat/completions` 等 endpoint。

### FAQ

- **适合生产吗？**：README 把它定位为实验性/研究仓库（Day 1），更适合以探索为目的使用。
- **第一步建议怎么玩？**：先创建 Pod、邀请另一台机器加入，再验证能列出成员与模型。
- **能当 API 用吗？**：README 提到本地 OpenAI 兼容 base URL 与 endpoints，可用于 agent 调用。

## Source & Thanks

> Source: https://github.com/hyperspaceai/agi
> License: MIT
> GitHub stars: 1661 · forks: 181


---
Source: https://tokrepo.com/en/workflows/hyperspace-agi-p2p-agent-network-cli
Author: Agent Toolkit