Practical overview
When it fits
Use Datahaven when an application needs decentralized storage with cryptographic verification of stored and retrieved data, rather than storage that relies only on an off-chain provider.
Who it is for
- Developers building AI data infrastructure
- Teams storing or retrieving machine-learning models
- Web3 application developers needing decentralized storage
- Builders requiring verification of off-chain data through on-chain commitments
Documented uses
- Store AI training datasets through decentralized storage providers
- Store and retrieve machine-learning models
- Provide replicated storage for Web3 applications
- Verify retrieved off-chain data against on-chain cryptographic commitments
- Use Ethereum-compatible smart contracts with the network
Requirements & limits
The official repository is public and identifies the project as GPL-3.0 licensed. The documented technical platforms include Linux, CLI, server and self-hosted environments.
- Data is stored off-chain while commitments are anchored on-chain.
- Main Storage Providers serve data and coordinate storage; Backup Storage Providers replicate it.
- Merkle-tree hashing and proof challenges support data-integrity verification.
- Frontier provides EVM compatibility for Ethereum-oriented smart contract tooling.
- The repository includes node, runtime, smart-contract, test and Kubernetes deployment components.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 1 October 2026
- Original website title
- datahaven-xyz/datahaven · Official homepage title · retained in its source language

