Наш блог

Reports

January 8, 2025

December 2024 | End of Month Report

We closed out 2024 on a strong note, solidifying our Mainnet Phase-1 launch and setting the stage for what we believe will be a transformative 2025. From protocol stability to newly formed partnerships and user growth, we’ve continued to validate both the network’s technical foundations and our long-term roadmap.

[ View More ]

Phase-1 Launch Recap:
Our core consensus chain remains robust, with farmers actively participating and earning rewards. Space pledged continues to increase, highlighting the ongoing strength and viability of our platform. We regularly release incremental upgrades to Space Acres, our farming client, with optimizations and UX improvements.
Preparing for Phase-2:
The Auto EVM (formerly Nova) domain is under testing on the Taurus testnet. We are focusing on cross-domain messaging and performance tweaks, aiming for a smooth transition to Phase-2 in Q1 2025.
Scalability and XDM design:
We continue enhancing security and performance for our scalability and XDM design. For example, while most blockchain projects are limited to supporting only 8 to 20 shards, our design is able to support 100+ shards and achieve near-optimal performance based on our in-depth analysis.

0xArgu-mint:
Most AI agents purporting to be crypto-native have little more than a meme coin. We launched the first ever “on-chain” AI Agent ‘Argu-mint’ — an interactive agent with a permanent memory stored on the Autonomys Network. The value accrues to the L1 token, AI3, as opposed to a speculative and useless ghost-token. This proof-of-concept demonstrates Autonomys’ positioning as the foundational layer for agents in AI3.0.
[ X ] | [ Agent Memory Viewer ]
Astral:
Our block explorer is mainnet-ready, featuring a refreshed UI and recent bug fixes for a more streamlined experience.
Auto Drive:
The UI/API proof-of-concept has been completed, targeting improvements that simplify developer workflows.
[ Learn More ]
Autonomys Agents & Auto SDK:
With the new Auto Drive interface in place, refining agent functionality is next on our list. Early on-chain testing has yielded clear feedback on how to best refine AI-powered dApps.
[ Autonomys Agents ] | [ Auto SDK ]

Onboarded Partners:
FoxWallet: Integrating a more user-friendly, multi-chain experience for smooth onboarding and transaction management.
Secret Network: Collaborating to bring decentralized confidential computing (DeCC) to the Autonomys Network, enabling developers to build powerful privacy-preserving AI-powered dApps (super dApps) and on-chain agents.
SEA DePIN: Strengthening our presence in Asia-Pacific by collaborating with the community based group SEA DePIN.
[ FoxWallet ] | [ Secret Network ] | [ SEA DePIN ]
TEE Collaborations:
We’re continuing to explore secure Compute partnerships, ensuring advanced privacy for AI-centric workloads.

Messari Intelligence on Chain (IoC Report):
Messari launched the first Autonomys Network IoC report featuring a deep dive into the Proof-of-Archival-Storage (PoAS) Consensus Mechanism as well as technical insights on data availability & permanent storage.
[ Report ] | [ X ]
TON Foundation User Acquisition Campaign:
We launched a month-long campaign in collaboration with the TON Society Hong Kong, Multiple Network, and UXLink and 12 other projects for the first community driven growth campaign.
[ Announcement ] | [ Campaign ]
Product Driven TEE & RAG Demo:
Released our proof-of-concept demo showcasing Autonomys’ decentralized triple-stack solution — Permanent DSN, Data Access, and Private Compute.
[ X ] | [ YouTube ] | [ Blog ]
Website V1.2 Release:
The Autonomys V1.2 Website Update is live! Showcasing our ongoing commitment to improvement alongside a brand new Product < Auto SDK page for Developer onboarding.
[ Auto SDK ]
Community Initiatives:
Hosted the final Farmer Office Hours of 2024 and launched the Auto Horizon Developer Challenge. Our Global Ambassador Program has migrated to on-demand onboarding to better target the skills it needs.
[ Auto Horizon ] | [ Blog ] | [ Ambassador Application ]
Shenzhen China, Developer Sync:
Our first Developer Offline Sync featured Ning, delivering a keynote presentation on an Intro to the Autonomys Network to a full house of Developers in Shenzhen.
[ X ] | [ Event Page ]
Key Media Wins:
CEO Todd Ruoff on Messari’s Unqualified Opinions Podcast
CEO Todd Ruoff on CNBC Crypto World
Messari IoC Report [Mandarin]
Head of Protocol Dariia Porechna on The News Forum’s Open Source
[ Additional Media Wins ]

Mainnet Phase-2 (Q1 2025):
We’ll finalize testing on Taurus and work toward launching the Auto EVM domain. Our main focus remains on performance, cross-chain messaging, and developer onboarding.
APAC & Global Expansion:
We continue to pursue new partnerships, especially with TEE providers, DePIN Solutions, and DeAI collaborators for strong global adoption.

“We end 2024 with real traction behind our Mainnet Phase-1 launch and look ahead to Phase-2 and beyond with a sense of purpose. The network’s durability and the community’s enthusiasm have given us a solid foundation for growing our AI3.0 vision. Our focus will now shift to Mainnet Phase-2 and continuing to grow our ecosystem. Your continued trust and support make these achievements possible.”

— Todd Ruoff
[CEO, Autonomys Labs]
[ X ] | [ LinkedIn ]

‍

Partnerships

January 7, 2025

Autonomys x Rivalz: Enhancing AI Data Availability, Verifiability & Privacy

Autonomys is pleased to announce a strategic partnership with Rivalz focused on building infrastructure that ensures on-chain AI agents have access to high-quality, verified data. Alongside privacy-preserving technologies, we believe that this is key to enabling the next generation of autonomous systems.

Key Aspects of the Partnership

Data Availability & Verifiability: Autonomys’ high-throughput data availability layer will complement Rivalz’s Agentic Data Coordination System (ADCS) — a specialized data oracle layer optimized to allow AI to retrieve and utilize data in real-time — and enable a robust hybrid data availability ecosystem. Rivalz’ decentralized data provenance protocol for proving the accuracy, origin and immutability of AI data will also support Autonomys in providing end-to-end AI verifiability from training to agent interaction when used in combination with Auto ID — Autonomys’ self-sovereign identity infrastructure for both humans and agents.
Advanced Privacy & Computation: Rivalz supports privacy-preserving, scalable data processing with AI-grade latency using decentralized confidential compute (DeCC) and distributed storage secured via Fully Homomorphic Encryption (FHE). Rivalz partnering with Autonomys enhances our decoupled execution (DecEx) domains and distributed storage network (DSN) with FHE-secured privacy, enabling use-cases including secure data monetization, private AI model training, and personal on-chain agents.
Node Cross-Pollination: Community members running storage (farmer) nodes, and validator (operator) nodes once Autonomys Mainnet Phase-2 launches, on Autonomys and Rivalz can explore contributing storage space and compute capacity to both decentralized physical infrastructure networks (DePIN).

“We are thrilled to collaborate with Autonomys to drive forward the infrastructure needed for on-chain AI agents. By combining Rivalz’s decentralized data provenance and resource orchestration technologies with Autonomys’ high-throughput data availability layer, we’re enabling secure, scalable, and verifiable AI systems. This partnership represents a pivotal step in creating the foundation for autonomous AI ecosystems.” Matias Guillermo Papaleo Cha, CBDO at Rivalz

“We’re excited to partner with Rivalz to build infrastructure that ensures on-chain AI agents can access verified, real-time data securely. Together, we’re combining Autonomys’ data availability layer with Rivalz’s advanced data provenance and privacy technologies to enable trusted, scalable, and privacy-preserving AI systems for the future.” Parth Birla, Head of Partnerships at Autonomys

‍

About Rivalz

Rivalz is the world abstraction layer for the agentic economy, comprising five core modules: OCY DePIN, a scalable, secure data management network with blind compute; ADCS, a real-time decentralized data oracle and coordination layer; NOSTRINGS, an identity, wallet and agent resource mapping and allocation module; ROME, a compute, storage and bandwidth tokenization, orchestration, and marketplace protocol; and VORD, a no-code platform for building and publishing AI dApps and on-chain agents.

About Autonomys

The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.

‍

Press Release

December 23, 2024

Autonomys x Secret Network: Powering Privacy-Preserving Super dApps & Agents

Autonomys is pleased to announce a strategic partnership with Secret Network to bring decentralized confidential computing (DeCC) to the Autonomys Network, enabling developers to build powerful privacy-preserving AI-powered dApps (super dApps) and on-chain agents.

Key Aspects of the Partnership

DeCC: Using Trusted Execution Environment (TEE) technology, Secret’s DeCC layer ensures all inputs, outputs and model states remain private but auditable, allowing developers to build confidential super dApps at superior speed, cost and efficiency compared to other confidential computing networks. Autonomys’ Auto SDK makes interacting with our network infrastructure for dApp development — including distributed storage, decentralized consensus, and soon, decoupled execution environments and a self-sovereign identity framework — easy. Developers benefit from the interoperability of both WASM and EVM execution environments with Secret Network’s smart contracts and Autonomys’ decoupled execution domains, but we are nonetheless exploring a direct Layer-1 connection for greater efficiency. Combined with Secret’s DeCC layer, Auto SDK makes confidential super dApp development accessible.
Private AI Models: Connecting Claive — Secret Network’s enterprise-grade DeCC GPU infrastructure — to Autonomys’ distributed storage network (DSN) and upcoming domain layer of decoupled execution environments will allow developers to train privacy-preserving AI models with encrypted data directly on the Autonomys Network. This opens up new frontiers for developing super dApps and on-chain agents with advanced capabilities.
Confidential Agents: Through cross-chain communication Claive, AI3.0 developers can build, deploy and scale on-chain agents on Autonomys — all while maintaining end-to-end confidentiality — unlocking powerful new agent use-cases. Autonomys’ robust AI infrastructure allows for unparalleled throughput and execution, while Secret ensures users’ data privacy is built-in from day one.

“At Secret Network, we are committed to driving the future of privacy-preserving technology, and our partnership with Autonomys represents a pivotal step toward that vision. By merging Secret’s Decentralized Confidential Computing with Autonomys’ advanced AI infrastructure, we are unlocking a new era for on-chain AI. This collaboration will empower developers to create autonomous, confidential AI applications that prioritize user privacy while enhancing functionality and scalability. With Claive as the catalyst, we are setting the stage for a future where AI-driven dApps are not only more powerful but also more privacy-centric.” Lisa Loud, Executive Director of Secret Foundation

“Secret Network bringing confidentiality to the Autonomys Network is pivotal to our construction of the AI3.0 ecosystem. Secret’s privacy-preserving technology will soon enable web3 developers and normal users alike to build private, personal on-chain agents that run unstoppably on decentralized architecture.” Parth Birla, Head of Partnerships at Autonomys

About Secret Network

Secret Network is the first Layer-1 blockchain with privacy-preserving Turing-complete smart contracts. Using Trusted Execution Environments (TEE), it enables developers to build dApps that are encrypted by default, while also offering selective disclosure tools such as viewing keys and permit technology for compliance and auditability. Secret Network’s confidential computing layer is interoperable with 130+ blockchain networks, including Cosmos, Ethereum and Solana.

‍

Protocol

December 23, 2024

Unlock AI3.0: Run RAG & Private Compute on Autonomy’s Permanent DSN

Today we are pleased to release our proof-of-concept demo showcasing the practical application of Autonomys Network’s decentralized triple-stack solution — Permanent Data Storage Network (DSN), Data Access, and Private Compute. The demonstration focuses on an agent running in a Trusted Execution Environment (TEE), leveraging Retrieval-Augmented Generation (RAG) from securely stored data. By providing a secure and efficient framework for privacy-preserving AI deployment, this demo highlights how developers can utilize Autonomys to build scalable, customizable, and human-centric super dApps. As we walk through each section, we will not only provide the timestamps for easy video referencing, but our insights on why it matters.

Introduction (0:00–0:41)

What You’ll See:
This segment introduces the demo, focusing on an agent running securely using a TEE with NVIDIA H100 GPUs. It exemplifies a confidential RAG workflow that prioritizes data privacy.

Why It Matters:
Secure computation through a TEE establishes trust by ensuring sensitive operations are isolated from external interference, enabling privacy-preserving AI development.

Technology Overview (0:41–1:56)

What You’ll See:
Explore the integration of large language models (LLMs), RAG, and vector databases within the secure confines of a TEE. The section highlights the flexibility of deploying these systems locally, in hybrid configurations, or through end-to-end secure setups.

Why It Matters:
This integration provides the foundation for scalable, adaptable AI systems capable of maintaining privacy and security across diverse deployment scenarios.

Core System Configuration (1:57–2:24)

What You’ll See:
The system uses Llama (11 billion parameters), Chroma as the vector database, and open-source embedding from Hugging Face for robust data processing.

Why It Matters:
Open-source tools combined with advanced models democratize access to AI, fostering innovation while reducing reliance on closed, centralized ecosystems.

Attestation and Security Verification (2:25–4:07)

What You’ll See:
This section validates the security of computations through TEE attestation, using verifiable signatures, nonces, and JWT tokens to confirm the integrity of the hardware environment.

Why It Matters:
TEE attestation ensures that computations occur in a private, verified, and tamper-proof environment, a critical component for trust in decentralized AI systems.

Data Encryption and Privacy Workflow (4:08–5:22)

What You’ll See:
Data uploaded to the DSN is encrypted using the TEE’s public key. Decryption occurs within the TEE itself, ensuring that even the system operator cannot access the raw data.

Why It Matters:
This workflow highlights a breakthrough in user-centric privacy, ensuring that sensitive information remains confidential throughout the AI pipeline.

Practical Demonstration: File Upload and Querying (5:23–8:07)

What You’ll See:
This section showcases the upload of a thesis file to the DSN, processed by the TEE, enabling the LLM to answer context-aware queries based on the document.

Why It Matters:
This use case illustrates real-world applications of AI-powered knowledge retrieval while maintaining the highest standards of data security and user privacy.

Web Search and Vector Database Integration (8:08–9:23)

What You’ll See:
Integrated web search results are processed into the vector database, enhancing the contextual depth of the AI system’s understanding and responses.

Why It Matters:
This capability demonstrates how decentralized AI systems can incorporate external data sources for improved functionality without compromising security.

Backup and Encryption Features (9:24–9:57)

What You’ll See:
The vector database’s backup options include encryption and password protection, further securing stored information.

Why It Matters:
Secure backup mechanisms protect against data loss while ensuring continued compliance with privacy standards.

Conclusion

Thank you for exploring our proof-of-concept demo showcasing the capabilities of Autonomys’ Permanent DSN, Data Access, and Private Compute in delivering secure, efficient, and decentralized AI solutions. It is a practical exploration of how privacy, scalability, and accessibility can coexist to support human-centric decentralized AI (deAI) and super dApps.

Are you a founder or builder interested in learning more about how Autonomys Network can support your decentralized solution?

‍

Partnerships

December 17, 2024

Autonomys x SEA DePIN: Spreading AI3.0 to Southeast Asia

Autonomys is excited to announce a collaborative partnership with SEA DePIN to produce informative and educational content about the Autonomys Network tailored to a Southeast Asian (SEA) regional audience.

Key Aspects of the Partnership

Autonomys Profile: Autonomys will maintain a dedicated project profile on SEA DePIN’s recently launched decentralized physical infrastructure (DePIN) Knowledge Hub database that currently features project, technical and use-case explainers, node setup instructions, and links to documentation on our vision, technology and tokenomics. In the future, this profile will highlight our co-authored reports and guides, interviews, and any shared community events and campaigns.
Farming How-To Guide: SEA DePIN is producing a comprehensive guide for Southeast Asian users seeking to deploy a farmer node on the Autonomys Network. This guide will include an overview of our lightweight farmer node-running software Space Acres and its significance within DePIN, as well as step-by-step setup instructions with screenshots, and best practices for optimizing performance, troubleshooting for common issues, and FAQs with solutions. The Autonomys community already maintains more than 50 farmer nodes on mainnet across Southeast Asia, spanning from Thailand, Laos and Vietnam to Malaysia, Indonesia and the Philippines. Our partnership with SEA DePIN will enable us to expand our reach significantly and increase our node count in the region.

AI3.0 Research Insights: Together, Autonomys and SEA DePIN are co-authoring analytical content exploring emerging topics in deAI and DePIN innovation, supported by data-backed insights from Autonomys’ Head of Research and Professor at the University of British Columbia (UBC) Chen Feng on Autonomys’ role in the SEA region.

“Partnering with Autonomys strengthens our mission to drive DePIN innovation in SEA. Their hyper-scalable deAI infrastructure unlocks new opportunities for AI-powered dApps and autonomous systems.” Jackie Th, Co-Founder of SEA DePIN

“Our partnership with SEA DePIN will enable Autonomys to further develop its growing network of Southeast Asia-based farmers, as well as bringing our innovative AI3.0 infrastructure stack and ecosystem to the region’s community of developers and users.” Jim Counter, Head of Community at Autonomys

‍

About SEA DePIN

SEA DePIN is the premier media platform in Southeast Asia for DePIN projects, dedicated to empowering the region’s community and promoting the growth of DePIN, deAI and web3 through education and active engagement. SEA DePIN provides a comprehensive DePIN Knowledge Hub, featuring original research, practical case studies, expert guides, and in-depth reports, and organizes events for community members and industry leaders in the SEA region.

X | LinkedIn | Telegram | Knowledge Hub

About Autonomys

‍

Partnerships

December 12, 2024

Autonomys x FoxWallet: Advancing AI3.0 Accessibility