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Secret Network Integrates Arweave SDK to Enable Private, Persistent Storage for On-Chain AI

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Community Labs
June 26, 2025
5 min read
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AI agents on-chain are becoming more powerful, but that power comes with new risks. Without the right infrastructure, agents can leak sensitive information, rely on centralized storage, or lose important state history. That’s why Secret Network is integrating Arweave.

With Arweave’s permanent, decentralized storage layer now powering agent infrastructure on Secret, developers on Secret Network can finally build AI systems that are private by default and persistent by design.

At Community Labs, we’re proud to support this integration by maintaining the Arweave Data Storage SDK, collaborating on best practices for agent memory, and enabling developers to build fully autonomous systems without compromise.

Why It Matters

AI isn’t just about intelligence, it's also about control. Who owns the models? Who sees the inputs? Where do outputs live after generation? These questions matter, especially in a world where more computation is moving on-chain.

Today, most on-chain AI tooling lacks two critical features:

  • Confidentiality -   Prompts, model weights, and outputs must remain private and protected from unauthorized access.
  • Persistence -  Reliable, tamper-proof storage is essential to maintain a complete and accurate history of agent activity.
  • Auditability - Enable transparent, verifiable histories without exposing sensitive data.


Secret Network is solving for both. Arweave helps make that possible.

By combining Secret’s confidential virtual machines with Arweave’s permanent data storage, we’re giving developers a way to build agents that are private by default, immutable by design, and decentralized end-to-end.

How It Works

At the heart of this integration is the pairing of two SDKs:

Together, they give developers fine-grained control over what agents know, what they remember, and how their decisions are tracked—without sacrificing sovereignty or security.

What’s Being Built

The first proof of concept is already in motion.

POC #1: Trading Agent (Live)

An interactive proof of concept demonstrating core features of the Secret Network × Arweave integration.

  • Uses SecretAI for private prompt-based chat
  • Uses Arweave to store trading history permanently
  • Uses Secret Network confidential coins for asset transfers
  • Executes trades on Secret Network 

The agent interacts with users conversationally. When prompted with “you have convinced me”, it swaps a small amount of sUSDC to sSCRT.

Live Demo: https://green-gerbil.vm.scrtlabs.com/

Source Code: https://github.com/scrtlabs/secret-trading-agent-app

POCs in Progress:

  • Encrypted AI Output Storage: Store fine-tuned model responses immutably and confidentially.
  • Agent Metadata Tracking: Audit agent evolution without revealing internal logic.
  • Training Data Logging: Store on-chain datasets for validation, reproducibility, or community fine-tuning—privately.

Why Is Secret Building on Arweave?

When it comes to building intelligent systems on-chain, infrastructure matters. Developers need a foundation that’s not only decentralized but also secure, private, and persistent. That’s where the Arweave Data Storage SDK integration with Secret Network stands out.

Each network brings a critical missing piece to the decentralized AI puzzle:

  • Secret Network enables confidential compute through encrypted virtual machines. That means your agent’s inputs, logic, and outputs can stay private—by default.
  • Arweave provides immutable, permanent storage, allowing agents to store sensitive data, logs, and training outputs on-chain without the risk of loss or tampering.

What's Next?

Here's what’s coming:

  • Cross-chain data management flows between Secret and Arweave
  • More AI SDK integrations: model governance, encrypted inference, secure access control
  • Developer bounties and RFPs for AI x privacy x permanence
    Community working groups around Autonomous Agents

You shouldn’t have to choose between decentralization and usability. Or between transparency and privacy. With this integration, you don’t have to.

AI infrastructure should be secure, sovereign, and composable. And now it is.

Activate your first confidential agent. Store its memory forever. Build the AI future on your terms.

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