> For the complete documentation index, see [llms.txt](https://docs.ama.one/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ama.one/ecosystem/partners/arweave.md).

# Arweave

Type: Infrastructure - Decentralized Data Storage\
Website: <https://arweave.org>

#### **Overview**

Arweave is a decentralized, permanent storage network optimized for immutable data archiving and high-throughput access. [**AR.IO'**](https://ar.io/)s **Turbo bundling** solution efficiently handles billions of requests monthly, making it ideal for managing Amadeus AI agent datasets, model checkpoints, and provenance records at scale.

By integrating Arweave, Amadeus ensures **persistent, verifiable storage** for AI compute outputs without burdening the main chain — enabling a fast, secure, and decentralized layer for long-term agent memory and auditability.

***

#### **Planned Capabilities for Amadeus**

* Offload AI data (weights, logs, metadata) to permanent, verifiable Arweave storage.
* Use **Turbo bundling** via the TypeScript SDK or [AR.IO](http://AR.IO) API for high-throughput uploads and retrieval.
* Store lightweight **on-chain hashes** (e.g., SHA-256) for provenance without embedding full data in L1.
* Integrate **Rust Arweave crates** for native signing and uploads, ensuring authenticity and future Rust-Turbo compatibility.

***

#### **Example Use Cases**

**AI Agent Data Persistence:** Store and reference immutable model states, logs, and memory snapshots tied to agent IDs.

**Compliance & Provenance:** Enable audit trails for AI training datasets or model lineage through hashed metadata stored permanently.

**Decentralized Knowledge Graphs:** Archive structured outputs and public knowledge embeddings contributed by agent swarms.

***

#### **Current Status**

Integration planned using Rust-based Arweave crates for core signing and upload flows, combined with [AR.IO](http://AR.IO)'s Turbo TypeScript SDK for high-throughput data bundling.

***

#### **Upcoming Deliverables (Planned)**

**Q1 2026:** Implement hybrid integration—Rust crates for authenticated data uploads and Turbo SDK/API for high-throughput storage. Deploy a lightweight on-chain registry contract referencing stored data hashes for provenance and accounting.

**Pontential extensions:**

Extend support for multi-token payments (potentially including $AMA) and optimize Turbo bundling for agent-generated datasets and model checkpoints at scale.
