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February 10, 2025

January 2025 | End of Month Report

[ December 2024 Report ]

The close of 2024 marked a period of significant progress and achievement, setting the stage for an even more promising 2025. A key milestone on our roadmap is the tentative TGE, with preliminary planning scheduled for Spring 2025. This event will serve as a catalyst, propelling us towards the highly anticipated launch of Mainnet Phase 2.

Our current focus is two-fold: we are actively fostering the growth of a dynamic and engaged community while simultaneously ensuring that our ecosystem is primed for substantial adoption and real-world impact. This involves a multi-faceted approach, encompassing strategic partnerships, technical developments and integrations, and community outreach initiatives.

[ December Report ]

[ View More ] [ December Stats ]

Mainnet Update
We released a new Mainnet version (mainnet-2025-jan-14) on January 14, 2025, alongside Space Acres 0.2.11 — fixing piece cache sync in cluster mode, tightening up block propagation after new history segments, and introducing gateway improvements. No replotting is needed, but timely upgrading is crucial to maintaining network stability and optimal performance.

[ X ] | [ Docs ]

EVM Scalability Upgrade
We have released to our persistent Taurus testnet an upgrade with many execution optimizations, bringing above 2000 TPS on EVM with more optimizations to come prior to TGE.
Bandwidth Scalability Design
We are researching verifiable erasure coding to enable on-demand data sharding, aiming to drastically increase data throughput compared to traditional sharding. Rather than segmenting the network into fixed, capacity-limited sections called shards, Autonomys is developing a system that generates on-demand new shards dynamically, encoding them into easily recoverable chunks. This innovation has the potential to scale data throughput by up to 1,000x, cementing our positioning as the most scalable blockchain.
[ X ] | [ Blog ]
1M Block Milestone
Our consensus chain passed 1 million blocks on January 16th, a testament to our network stability and sustained community support. This milestone not only reflects the enduring reliability of our core infrastructure, but also underscores the dedication of the farmers, developers, and Autonauts who power everyday operations.
[ X ]

Auto Agent Framework v0.2.0
Our latest Auto Agent Framework release now supports more complex orchestration, letting AI agents plan and execute tasks beyond simple scripted workflows. We’ve also introduced a multi-character setup and an enhanced Memory Viewer that accommodates multiple agents (including Argu-Mint and Agree-mint), with support for vector databases and memory resurrection. In addition, saveExperience allows agents to autonomously and permanently store unstructured data on Autonomys. Taken together, these upgrades offer richer, more autonomous behaviors and an improved developer experience.
[ X ] | [ GitHub ] | [ Memory Viewer ]
Argu-Mint v2 Released
Argu-Mint (v2) is now live, leveraging our open-source Auto Agent Framework to demonstrate how developers can create on-chain autonomous agents with permanent, verifiable memory. This release includes a comprehensive demo and an explainer article — showcasing the tamper-proof, decentralized data capabilities of the Autonomys Network.
[ X ] | [ Blog ] | [ Tutorial ]

Onboarded Partners:

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.
[ X ] | [ Blog ]
DIN: DIN — the data intelligence network — is a decentralized data contribution and preprocessing layer incentivizing users to collect, validate, annotate and vectorize data for AI training and model development. DIN provides its ecosystem with continuous on-chain and off-chain data feeds and is building towards a blockchain for AI agents and decentralized AI applications (dAI-Apps).
[ X ] | [ Blog ]
Multiple Network: Multiple Network is a high-speed bandwidth DePIN with data acceleration and privacy protection for enhanced decentralized AI data transmission efficiency and security. Multiple Network aggregates the bandwidth of distributed nodes to create a programmable peer-to-peer software-defined wide area network (SD-WAN) that users can leverage for large-scale, private, low-latency encrypted data transmission via its API.
[ X ] | [ Blog ]
Morphic Network: Morphic is a TEE-enabled appchain protocol for decentralized, privacy-preserving AI training, inference, dApps and agents. Morphic’s trustless AVS-as-a-service combines unprecedented security and instant finality and verifiability with Docker-based container-level programmability for efficient, customizable development and deployment. Morphic AI is its modular security layer of portals for the confidential verification of agent operations.
[ X ] | [ Blog ]

Auto Horizon Developer Challenge Continues:
The Auto Horizon competition challenges developers to leverage the powerful Auto SDK to create unique and impactful applications — from AI-powered decentralized applications (super dApps) to agent proof-of-concepts (PoCs). The best applications win prizes for their developers and help our team test our software and documentation.
[ X ] | [ Forum ] | [ Media ]
Developer Hub Launched:
The new home of AI3.0 developer documentation. Autonomys is separating our developer docs into a dedicated hub to better serve the specific needs of the AI3.0 developer community.
[ X ] | [ Docs ] | [ Blog ]
Key Media Wins:
Head of Research Dr. Chen Feng on Authority Magazine
CEO Todd Ruoff on The Street (Video)
CEO Todd Ruoff on The Defiant
CEO Todd Ruoff on The Founder
CEO Todd Ruoff on Around the Coin (Podcast)
CEO Todd Ruoff on FOX News (TV)
Head of Protocol Dariia Porechna on Benzinga
Head of Protocol Dariia Porechna on Bloomberg (TV)
Additional Media Coverage

TGE (Spring 2025):
Token transferability will be enabled, token unlock cycle begins, and our Auto EVM domain launches as we prepare for Phase-2.
ETH Denver & Consensus Hong Kong:
We’re securing a strong presence at ETHDenver and Consensus Hong Kong, leveraging both events to demo our Auto Agent Framework and Auto SDK, and to forge real-time community connections. This strategic outreach feeds directly into our GTM efforts, drawing developers, investors, and ecosystem partners into the AI3.0 ecosystem.
Capital Raise Rounds:
We’re exploring fundraising opportunities to drive product development, global market entry, and ecosystem development — laying the foundation for sustained growth in AI-driven, decentralized infrastructure. Simultaneously, the Subspace Foundation’s node sale will further decentralize the network, bringing on new participants who will help secure and expand the protocol.

“We’re approaching a defining moment in our journey. Our upcoming token launch marks not an end but the beginning of a new chapter for our community. I want to thank each and every one of you for your unwavering support and active participation. Together, we’ll continue to push boundaries and shape the future of AI-powered decentralization. Your trust and commitment have built the foundation for a truly transformative experience, and I’m excited to share the next chapter of Autonomys with all of you.”

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

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Community

January 24, 2025

Turning Decentralization into Security

The Blockchain Trilemma

The blockchain trilemma — a fundamental challenge in blockchain design — posits that blockchain networks can only optimize for two out of three key properties: decentralization, security and scalability.

Major blockchains including Bitcoin and Ethereum continue to struggle with this trade-off, often sacrificing scalability to maintain security and decentralization. This has resulted in high transaction fees, slow confirmation times, and a limited throughput that hinders mainstream adoption. Others, like Solana, have chosen to sacrifice decentralization in the name of high TPS.

The Subspace Protocol, which underlies the Autonomys Network, takes a novel approach to resolving the blockchain trilemma in connecting decentralization to security through its proof-of-archival-storage (PoAS) consensus mechanism. The network will then achieve hyper-scalability through the implementation of our forthcoming scalability roadmap.

Decentralization = Security

Originally envisioned as the most decentralized blockchain in web3, Autonomys taps into the most accessible, commodified hardware resource on the planet — disk storage. Every consumer computer has some storage capacity. Leveraging that idle resource for network security (instead of expensive ASICs or inegalitarian stake thresholds) unlocks unprecedented decentralization, as well as access to expansive distributed data storage.

Rather than treating decentralization and security as separate concerns, the storage-based Subspace Protocol recognizes that the network’s security is directly proportional to how distributed the storage is across independent participants. In implementing a one-disk-one-vote system, Autonomys ensures that the network becomes more secure as it becomes more decentralized, effectively collapsing two sides of the trilemma into one.

Data: From Burden to Security Feature

What makes the Subspace Protocol particularly elegant is how it transforms what is typically seen as a blockchain’s greatest burden — storing the ever-growing history — into its primary security mechanism. Instead of viewing blockchain storage as a necessary evil that threatens decentralization, Autonomys makes it the cornerstone of network security.

Farmers (storage ‘miners’) create and store unique partial replicas of the chain’s history, with their ability to participate in consensus directly tied to their storage contribution. This means that the very act of securing the network also ensures its history remains distributed and available — a remarkable alignment of incentives that addresses both the farmer’s dilemma and the network’s need for robust data availability.

By reimagining the relationship between security, decentralization, and storage, the Autonomys Network offers a fresh perspective on scaling blockchain networks while maintaining their fundamental value propositions.

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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.

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Partnerships

January 21, 2025

Autonomys x Morphic: Securing Unstoppable Agents with TEE-based Private Compute

Autonomys is pleased to announce a strategic partnership with Morphic Network, an Actively Validated Services (AVS) provider and specialist in private, distributed compute and Trusted Execution Environment (TEE) technology.

Key Aspects of the Partnership

Private Compute: Morphic’s TEE-based confidential compute protocol could be integrated into Autonomys’ future marketplace for compute resources to enable AI3.0 developers to run scalable, privacy-preserving computation directly on encrypted decentralized data stored within Autonomys distributed storage network (DSN) for end-to-end confidentiality — ideal for sensitive AI workloads.
Unstoppable Agents: Auto Agent developers could combine Morphic’s programming language-agnostic TEE containers with Autonomys’ configurable domain chains for truly unstoppable, confidential on-chain AI agents.
Rollups & Layer-3s: Autonomys could utilize Morphic’s secure, TEE-enabled compute infrastructure to implement private and efficient rollup solutions for chain execution, ensuring faster finality and reduced latency, and empowering Layer-3 (L3) networks.

“Partnering with Autonomys puts hyper-scalable execution and permanent storage for deAI at developers’ fingertips. Together, we are redefining the future of decentralized AI, breaking barriers in secure, scalable, and autonomous computation.” Liam Ren, Co-founder of Morphic

“Partnering with Morphic Network brings cutting-edge TEE-based compute to Autonomys, enabling secure, private, and scalable AI solutions. Together, we’re advancing unstoppable agents and efficient Layer-3 networks, driving the future of decentralized AI.” Parth Birla, Head of Partnerships at Autonomys

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About Morphic

Morphic is a TEE-enabled appchain protocol for decentralized, privacy-preserving AI training, inference, dApps and agents. Morphic’s trustless AVS-as-a-service combines unprecedented security and instant finality and verifiability with Docker-based container-level programmability for efficient, customizable development and deployment. Morphic AI is its modular security layer of portals for the confidential verification of agent operations.

X | YouTube

About Autonomys

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Partnerships

January 16, 2025

Autonomys x Multiple Network: Accelerating deAI Data Transmission for On-Chain Agents with DePIN

Autonomys is pleased to announce a strategic partnership with Multiple Network.

Key Aspects of the Partnership

High-Speed Agents: Autonomys developers building Auto Agents could leverage Multiple Network’s bandwidth DePIN to ensure their on-chain AI agents operate at high-speed, and in a privacy-perserving manner.
Low-Latency Training: Combining Multiple’s low-latency bandwidth DePIN with Autonomys’ distributed storage network (DSN) and decentralized compute domains would make large scale, private decentralized AI training more accessible.
AI3.0 Ecosystem: Multiple Network privacy-preserving bandwidth DePIN represents an important addition to Autonomys’ AI3.0 ecosystem as an integral component to the building and deployment of Auto Agents.

“Partnering with Autonomys brings a new dimension to decentralized AI. By integrating our privacy-preserving bandwidth DePIN with their robust storage and compute infrastructure, we’re enabling faster, more secure Auto Agents and making scalable decentralized AI training a reality. This collaboration strengthens the AI3.0 ecosystem and redefines what’s possible in on-chain AI.” Zeus Chen, Co-Founder of Multiple Network

“Our partnership with Multiple Network marks a breakthrough for decentralized AI, combining their low-latency, privacy-focused bandwidth with Autonomys’ storage and compute capabilities to power high-speed, secure Auto Agents and advance the AI3.0 ecosystem.” Parth Birla, Head of Partnerships at Autonomys

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About Multiple Network

Multiple Network is a high-speed bandwidth DePIN with data acceleration and privacy protection for enhanced decentralized AI data transmission efficiency and security. Multiple Network aggregates the bandwidth of distributed nodes to create a programmable peer-to-peer software-defined wide area network (SD-WAN) that users can leverage for large-scale, private, low-latency encrypted data transmission via its API.

About Autonomys

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Community

January 16, 2025

Scaling Bandwidth with Near-Optimal Data Transfer

This document outlines the Autonomys Network’s bandwidth scalability designs for near-optimal data transfer, and briefly explains how the Autonomys Labs Research team evaluated and selected these approaches.

Scaling Computation & Bandwidth

In blockchain design, sharding is essential for achieving two critical scaling goals:

Computation: Autonomys tackles computation scaling through the use of domains and domain operators. Domains are similar to Ethereum Layer-2s, while domain operators act as decentralized sequencers. Implementing decentralized sequencing from the very beginning was an integral part of our network design philosophy.
Bandwidth: Autonomys addresses bandwidth scaling by leveraging verifiable erasure coding — a cutting-edge method that ensures data transfer at near-optimal efficiency. Below is an brief explanation of how it works and why it matters.

Scaling Bandwidth for Large-System Data Transmission

Imagine a blockchain network with 1,000,000 nodes, of which only 20% are reliable — staying connected and up-to-date, maintaining liveness, and contributing to the system. In order too manage data efficiently in this context, Autonomys applies erasure coding to domain bundles. This involves:

Encoding the Data: The original data is transformed into slightly more than 500 coded chunks.
Distribution: These coded chunks are distributed across nodes, one chunk per node.
Recovery: Any 100 coded chunks are sufficient to reconstruct the original data (as the size of the original data is equal to the total size of 100 coded chunks).

By distributing more than 500 chunks to the nodes, we ensure that at least 100 reliable nodes (of the 20% total) receive a chunk and can successfully recover the bundle. If fewer than 500 chunks are distributed, fewer than 100 reliable nodes are likely to receive them, making recovery impossible. This approach minimizes data transfer while maintaining robustness, achieving a near-optimal solution.

Autonomys’ Erasure Coding vs. Legacy Sharding

Comparing Autonomys’ erasure coding design with existing bandwidth scaling methods helps explain its significance.

In approaches without erasure coding, 1,000,000 nodes might be divided into 200 shards — each with 5,000 nodes — handling different bundles. However, this would require data transfer at a scale 1,000x greater than our design, as each shard would have ~1,000 reliable nodes, despite only one being needed to retain a bundle. Increasing the number of shards (e.g., to 20,000) might appear to offer a solution, but practical constraints, including dynamic shard assignment to mitigate adaptive adversaries, make this unfeasible. Most existing blockchains therefore cap shards at ~200. Even with erasure coding, dividing 1,000,000 nodes into 200 shards leads to data transfer levels that are still 1,000x higher than Autonomys’ design, as each shard has ~1,000 reliable nodes, and only one is needed to retain a coded chunk.

Autonomys’ near-optimal data transfer design — where the number of shards is unbounded — delivers throughput up to 1,000x higher than traditional scaling approaches. For every new bundle, a new shard is generated, consisting of more than 500 honest nodes. We eliminate the need for dynamic shard assignment by allowing for overlapping shards, and rely on mining and farming mechanisms to counter adaptive adversaries.

Conclusion

Autonomys’ innovative approach to scaling bandwidth through verifiable erasure coding represents a paradigm shift in blockchain technology. By combining minimal data transfer with robust recovery guarantees, Autonomys is setting a new standard for throughput and efficiency. Our design doesn’t just look good on paper — it’s built for the demands of the AI3.0 future.

Stay tuned as we continue to push the boundaries of what’s possible in web3 x AI scalability.

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About Autonomys

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Partnerships

January 10, 2025

Autonomys x DIN: Scaling deAI Data Infrastructure