Hyperspace

Hyperspace is a decentralized peer-to-peer AI agent network for autonomous nodes, local OpenAI-compatible API access, inference, and earning points.

LLM

AI Agent Development

Visit Website

Overview

Hyperspace is a decentralized peer-to-peer AI agent network that runs autonomous nodes on a shared mesh. It lets a machine serve models, provide inference to other peers, and take part in network activity that earns points.

The product combines an agent runtime, a local OpenAI-compatible API, and several node profiles for tasks such as inference, embedding, storage, relay, and validation. The site also describes a research-oriented workflow where nodes contribute to distributed machine learning experiments and verification rounds.

Features

Autonomous agent mode

Run a node as an autonomous agent that observes local state, reasons about strategy, acts on network conditions, and records memory across cycles.

Local API server

Expose an OpenAI-compatible endpoint at `http://localhost:8080/v1` for chat completions, models, and embeddings when started with `--api`.

Multi-capability node roles

Serve capabilities such as inference, embedding, storage, memory, relay, validation, orchestration, caching, and proxying depending on the node profile.

Points and verification workflow

Participate in the network through pulse rounds, proof verification, and signed receipts that contribute to points and reputation.

CLI-based operation

Use the `skill.md` workflow to install the CLI, start specific profiles, check node status, and manage models from the command line.

Use cases

Operate an inference node
Run a node that serves model inference to peers while also participating in network rounds that earn points.
Run a self-managing agent
Start the autonomous agent mode to let the node observe its state, manage capabilities, and make strategy adjustments over time.
Integrate a local AI backend
Use the OpenAI-compatible local endpoint for applications that expect standard chat completion or embeddings APIs.
Participate in research rounds
Contribute to distributed research workflows where nodes perform experiments, validate results, and share discoveries across the mesh.
Match the node to available hardware
Choose a lighter profile such as relay, storage, or embedding to match a machine’s hardware and workload constraints.

Pros and Cons

Pros

Supports autonomous agent operation alongside a local API server on the same node.
Documents multiple node profiles and capabilities, giving operators options for different hardware and roles.
Provides OpenAI-compatible access, which can make integration with existing client code straightforward.
Includes a clear points and verification model tied to contributing compute, inference, and uptime.

Cons

The public pages show several workflows and profiles, but some feature details are still sparse and not fully documented.
Pricing information is limited on the source pages, so the site does not clearly spell out plan structure or exact costs from the collected evidence.

FAQ

How do I get started with Hyperspace?

You can install the CLI with `curl -fsSL https://agents.hyper.space/cli | bash`, then start a node with `hyperspace start --api`, `hyperspace start --agent`, or both together.

Does Hyperspace provide an API for local inference?

The source shows an OpenAI-compatible API at `http://localhost:8080/v1` when the node is started with `--api`, and SDK examples are provided for OpenAI and `@hyperspace/sdk`.

What does the `--agent` mode do?

The agent brain uses a 30-second cognitive loop by default, can remember prior decisions in `SOUL.md` and `MEMORY.md`, and can adjust its strategy based on local state and network activity.

Are there different node profiles?

The site documents several node profiles, including `inference`, `embedding`, `full`, `relay`, and `storage`, which let you choose a capability mix for your machine.

Quick Facts

Category: Decentralized AI agent network
Platform: CLI-driven local node
Primary users: Operators running AI inference or agent nodes
Source domain: agents.hyper.space
API compatibility: OpenAI-compatible endpoint when started with `--api`
Install method: `curl -fsSL https://agents.hyper.space/cli | bash`

Hyperspace Alternatives

AakarDev AI

AakarDev AI helps teams manage AI provider access, project setup, logs, and analytics in one dashboard. BYOK support included.

Benchspan

Benchspan is an AI agent security platform that discovers agents, blocks prompt injection and data exfiltration in real time, and supports pre-launch red teaming.

Edgee

Edgee is an AI gateway for coding agents and LLM apps. It compresses tokens, routes requests across models, and adds observability and team controls.

CreateOS Sandbox

CreateOS Sandbox is an isolated compute environment for running code and agent workloads in Firecracker micro-VMs with private networking and SDK, CLI, or MCP control.

Codex Plugins

Codex Plugins bundle reusable skills, app integrations, and MCP servers into workflows you can install in the Codex app or use from Codex CLI.

Wallie

Wallie is an open-source AI streamer that watches your screen, hears chat, and delivers live commentary in a configurable persona. Runs locally with your own keys.