Hyperspace provides a blockchain layer optimized for autonomous AI agents, offering a deterministic Agent Virtual Machine (AVM) and a peer‑to‑peer network for secure, low‑latency execution. Its AgenticOS abstracts agent lifecycle, authentication, and state persistence, while the Thor runtime processes smart‑contract‑based agent logic with high throughput. Developers can use TypeScript, Python, and Rust SDKs to deploy, monitor, and monetize agents without relying on centralized infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous AI agents lack a dedicated execution environment that guarantees secure, decentralized, and interoperable operation across heterogeneous compute resources. Existing cloud or blockchain platforms are either too centralized, lack deterministic runtime guarantees, or do not provide native primitives for agent coordination, leading to high integration overhead and limited scalability.
Solution
Hyperspace delivers a purpose-built blockchain layer optimized for AI agents, combining a deterministic Agent Virtual Machine (AVM) with a peer‑to‑peer (P2P) networking fabric. The platform ships AgenticOS, an operating system that abstracts agent lifecycle management, authentication, and state persistence. Thor, the high‑throughput runtime, executes smart contracts that encapsulate agent logic while preserving low latency. The HAP protocol defines standardized messaging and service discovery for agents to interact securely across the network. Developers access a full SDK, documentation, and open‑source tooling to deploy, monitor, and monetize autonomous agents without relying on centralized infrastructure.
Target Audience
Primary customers are AI developers and enterprises building autonomous agents, decentralized AI platforms, and data‑intensive services that require secure, scalable execution across a distributed network.
Features
- AgenticOS v1.0: OS layer for autonomous agents handling registration, credentialing, and state synchronization
- AVM (Agent Virtual Machine): deterministic execution engine with sandboxed bytecode for reproducible agent behavior
- Thor runtime: high‑performance consensus and transaction processing optimized for low‑latency AI workloads
- HAP protocol: peer‑to‑peer messaging and service‑discovery standard enabling secure inter‑agent communication
- Decentralized P2P network: fault‑tolerant data propagation and storage without single points of failure
- Native tokenomics: incentive mechanisms for compute contribution, staking, and governance of agent resources
- Comprehensive SDKs (TypeScript, Python, Rust) and API endpoints for seamless integration with existing AI frameworks
- End‑to‑end cryptographic verification of agent code and data to ensure integrity and provenance