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