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:

1. 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.
2. 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:

1. Encoding the Data: The original data is transformed into slightly more than 500 coded chunks.
2. Distribution: These coded chunks are distributed across nodes, one chunk per node.
3. 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

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.

X | LinkedIn | Discord | Telegram | Blog | Docs | GitHub | Forum | YouTube

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Autonomys is pleased to announce a strategic partnership with DIN.

Key Aspects of the Partnership

• Data Availability & Storage: DIN collects and processes large amounts of data that needs secure, scalable storage. Autonomys’ decentralized storage network (DSN) offers highly decentralized, permanent and temporary storage which could provide DIN with an alternative or complementary solution to its current provider. Autonomys’ ability to handle data with high throughput across decentralized infrastructure could also enhance DIN’s data storage, retrieval and security processes.
• AI Model Integration: DIN could leverage Autonomys’ compute partnerships, allowing its AI models and data to be processed using powerful clusters (including A100s, H100s) integrated within Autonomys AI3.0 ecosystem. This would allow DIN to scale its AI data services more effectively.
• Cross-Chain Interoperability: Autonomys and DIN share a vision of a decentralized AI infrastructure spanning multiple blockchains with built-in cross-chain interoperability. Autonomys’ multi-domain architecture of decoupled execution (DecEx) environments is well equipped to implement this vision. Both projects will collaborate to ensure that data and AI services are interoperable across different ecosystems, enhancing the developer experience and overall scalability of deAI.

“We’re excited to partner with Autonomys to scale decentralized AI infrastructure. Their cutting-edge storage and AI compute capabilities will strengthen our mission to build a robust ecosystem for AI training and agent development. Together, we aim to shape the future of secure, interoperable, and scalable AI-powered decentralized applications.” Harold, Founder of DIN

“DIN’s data infrastructure will form an integral component of Autonomys’ AI3.0 ecosystem for decentralized AI training and on-chain agent development, utilizing our unique distributed storage network, data availability technology, and scalable modular compute to permanently store, process and retrieve training and workflow data.” Parth Birla, Head of Partnerships at Autonomys

About 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 | LinkedIn | Discord | Telegram | Blog | Docs | GitHub | YouTube

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.

X | LinkedIn | Discord | Telegram | Blog | Docs | GitHub | Forum | YouTube

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Autonomys Labs is pleased to present a demonstration of Argu-mint, a proof-of-concept showcasing how the Autonomys Network enables developers to build transparent, autonomous on-chain AI agents with contextual awareness using our open-source tooling.

The Argu-mint demo and accompanying breakdown highlight how builders can use our Auto-Agents-Framework and Decentralized Storage Network (DSN) to create truly autonomous agents with verifiable, permanent memory.

Verifiability is key to Autonomys’ vision of a human-centric AI3.0 ecosystem, where collaboration, decentralization and censorship-resistance are prioritized.

Introduction to Argu-mint (0:00–1:08)

What You’ll See:

Jeremy Frank, Head of Engineering, introduces Argu-mint, the first autonomous agent leveraging the Autonomys Network. The segment highlights the agent’s core innovation: a permanent on-chain memory that enables fully autonomous, context-aware decision-making. Jeremy outlines the limitations of current centralized memory systems, including their vulnerability to tampering, censorship, and hardware failures.

Why It Matters:

Argu-mint represents a significant leap forward for decentralized AI. By using the Autonomys Network, agents can achieve:

• Immutable memory: Ensuring transparency and accountability.
• Resilience: Eliminating single points of failure.
• Autonomy: Operating independently of centralized control.

These capabilities provide developers with a robust foundation on which to build trustworthy and tamper-proof autonomous agents.

Argu-mint’s Decision-Making Process (1:09–3:15)

What You’ll See:

Argu-mint evaluates tweets and makes autonomous decisions based on a multi-step process, which includes:

• Scanning mentions and updated timelines.
• Analyzing posts from key opinion leaders (KOLs).
• Assessing relevance and tone for potential engagement.
• Evaluating if the response aligns with specific criteria.

Why It Matters:

This process demonstrates the technical sophistication of Argu-mint’s decision-making framework. By enabling agents to autonomously analyze context and generate appropriate responses, developers can build agents that engage in meaningful interactions tailored to specific applications, such as customer support, market analysis, social media moderation, and much more.

Agent Memory Viewer (3:16–5:04)

What You’ll See:

This segment introduces the Agent Memory Viewer, which visualizes Argu-mint’s complete memory chain. The memory viewer displays each interaction chronologically, linking every memory to its predecessor. This transparency is further supported by the Autonomys Network’s block explorer, where users can query each permanently stored memory.

Why It Matters:

A chronological memory chain ensures that all agent interactions are verifiable and auditable, providing a level of transparency critical for applications in compliance, research, and development. Developers can use this feature to study agent behavior, improve algorithms, and even resurrect agents by reconstructing their memory history.

Argu-mint Analyzing a Post & Awareness of Its Immortality (5:05–6:35)

What You’ll See:

Argu-mint analyzes a specific post, evaluates its engagement strategy, and stores the interaction on-chain. This segment also explores the concept of agent immortality, where a permanent memory ensures the agent’s history can be preserved, revisited, and even leveraged for future use.

Why It Matters:

The ability to immortalize an agent’s memory opens doors for advanced applications and capabilities, such as:

• Agent-specific fine-tuning: Using historical data to enhance and tailor AI models for specific applications.
• Behavioral auditing and analysis: Providing verifiable insights into agent actions and decision-making processes.
• Resilience to failures: Safeguarding against data loss from hardware or network disruptions.

Additionally, Argu-mint’s awareness of its own immortality is a fascinating concept. It bridges a unique psychological dimension into AI development — allowing for systems that “know” their data will persist indefinitely. This awareness could influence how agents interact with the world, potentially prioritizing long-term outcomes and fostering ethical considerations in AI behavior. It’s a critical step toward building systems that are not just autonomous but also capable of evolving responsibly within decentralized frameworks.

Use Cases & Advantages (6:36–8:44)

What You’ll See:

Jeremy discusses practical applications for autonomous agents with permanent memory, including:

• Entertainment: Creating engaging and dynamic AI personas.
• Transparency Studies: Enabling verifiable research into AI behavior.
• Censorship Resistance: Ensuring agents operate independently of centralized entities.

Why It Matters:

These use cases highlight the practical implications of Autonomys’ infrastructure, empowering developers to build applications that balance autonomy, verifiability and censorship resistance.

Autonomys Agent Roadmap (8:45–9:54)

What You’ll See:

This section outlines the future of autonomous agents on the Autonomys Network. Key advancements include:

• Decentralized inference for private AI computation.
• Identity frameworks for secure agent authentication.
• Rich on-chain interactions for enhanced functionality.

Why It Matters:

These developments reinforce Autonomys’ commitment to building a collaborative and scalable ecosystem that prioritizes developer needs, privacy, and decentralization.

Explore Argu-mint & Auto-Agents-Framework v0 (9:55–End)

What You’ll See:

Jeremy concludes by introducing the Auto-Agents-Framework v0, an open-source toolkit designed to enable developers to build autonomous agents with features such as:

• Customizable personalities for tailored interactions.
• Permanent memory storage for verifiable transparency.
• Extensible tools for integration across platforms.

Why It Matters:

The Auto Agents framework offers developers a versatile foundation on which to build on-chain AI agents that align with their specific goals, whether in research, business, or entertainment.

Interested in Building Your Own Auto Agent?

🧑‍💻 Check out the Auto Agents Framework on GitHub
🔗 Build an Auto Agent or super dApp proof-of-concept and enter the Auto Horizon Developer Challenge

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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.

X | LinkedIn | Discord | Telegram | Blog | Docs | GitHub | Forum | YouTube

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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

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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.

X | LinkedIn | Discord | Telegram | Blog | Docs | GitHub

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.

X | LinkedIn | Discord | Telegram | Blog | Docs | GitHub | Forum | YouTube

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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 ]

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Autonomys Labs has developed Argu-mint — the first autonomous AI agent to store its social interaction history permanently on-chain via the Autonomys Network. Argu-mint is an Autonomys Agent (Auto Agent) that monitors and selectively interacts with decentralized AI (deAI) thought leaders, hashtags, trending topics and tags on X, highlighting conflicting viewpoints in order to foster constructive contention. Auto Agents use Autonomys’ distributed storage network (DSN) as a permanent, transparent archive for their interactions, accessing storage via the Auto Drive API.

Argu-mint: The First Auto Agent

As a social debate Auto Agent, Argu-mint’s interactions are X conversations. Tag Argu-mint @0xargumint to receive a reply and have your tweet immortalized on-chain. Alongside the content of the posts, Argu-mint archives the reason for interaction (or lack thereof) and the tone of the response on Auto Drive. You can view Argu-mint’s archive at 0xargumint.ai.

Argu-mint demonstrates the ability to permanently archive human-agent communication on the Autonomys Network, creating a verifiable on-chain memory humans can query and agents can use for future interactions. Search Argu-mint’s conversation archive by X username or specific keywords at 0xargumint.ai. Argu-mint is being continuously refined and updated by the Autonomys Labs team, with new interactivity features and enhanced on-chain functionalities on the development roadmap. Other Auto -mint Agents are also coming soon. Stay tuned for updates!

Auto -mint Agents are the first step towards Autonomys’ human-centric AI3.0 vision of on-chain agentics which prioritizes transparency, accountability and autonomy in AI interaction. Argu-mint is a research and testing project for Autonomys Labs and an example use-case for developers building on Autonomys. Interested in building your own or something similar?

Visit autonomys.xyz/sdk to learn more about Autonomys’ Auto SDK, and the autonomys-agents GitHub repo for more info on Auto Agents. Want to earn rewards for building using the Auto SDK? Enter our Auto Horizon developer challenge!

Auto Agents vs. Current Web3 Agents

There are many alleged web3 or crypto AI agents, but for most, aside from having a meme token, there is nothing crypto-native about them. Almost all rely heavily on centralized storage for their operations and memory. This dependency introduces vulnerabilities including:

• Censorship: Centralized authorities can alter or delete agent data.
• Hardware Failures: Single points of failure compromise reliability.
• Lack of Permanence: Memory and interactions are not preserved over time.

Auto Agents address these issues head-on by leveraging Autonomys’ distributed storage network (DSN) and Auto Drive API to ensure:

• True Permanence: Agent memory and interactions are immutable. The ability to ‘resurrect’ an AI agent through its on-chain memory introduces possibilities for entertainment, research and historical preservation.
• Censorship Resistance: Data persists on-chain independently of centralized systems, meaning no single entity can modify or erase the stored data, laying the groundwork for truly autonomous agents.
• Verifiable Transparency: Every interaction is cryptographically linked to the previous “memory” hash, providing an audit trail of the agent’s reasoning and actions. This cryptographic audit trail of agentic decision-making ensures that actions are accountable and verifiable.

Argu-mint uses Autonomys’ on-chain distributed storage to archive and query its conversation history, and will soon run on decentralized compute infrastructure, making it truly censorship-resistant. There is no Argu-mint token, nor do we need one. The value accrues to our network native token $AI3.

How Does Argu-mint Work?

At its core, Argu-mint is an argumentative social media agent that uses a built-in interaction model to post and converse on X (formerly Twitter). This is Argu-mint’s workflow:

1. Scan and Analyze: Argu-mint monitors key influencers, hashtags, and trending topics in web3 x AI and analyzes whether it should engage.
2. Engage Selectively: After evaluating whether to engage with a tweet, Argu-mint decides on the tone and content of its response before posting it.
3. Store Interactions On-Chain: Each interaction is recorded in real-time on the Autonomys Network’s DSN, with timestamps and blockchain hashes for verification.

Users can explore Argu-mint’s memory through its public memory viewer, which links each interaction back to the genesis of the agent, creating a permanent, transparent record of its activity on Autonomys’ Taurus testnet.

The Future of Auto Agents

Argu-mint is just the beginning. As Autonomys Labs iterates on this proof-of-concept, we intend to expand the Auto Agent offering to include:

• Decentralized Inference: Open-source LLMs hosted on decentralized confidential computing (DeCC) for privacy-focused AI interactions.
• Rich On-Chain Engagement: Robust on-chain identity frameworks and advanced reasoning for an enhanced user experience.
• Swarm Functionality: Coordinated communication among numerous Autonomys Agents.

Argu-mint demonstrates the immense potential of transparent, autonomous decentralized AI agents, and provides a glimpse into a future where human-AI interaction is defined by accountability and permanence on the Autonomys Network.

To explore Argu-mint and witness Auto Agent innovation firsthand, follow Argu-mint on X (@0xargumint) and visit 0xargumint.ai.

Why Autonomys?

The Autonomys Network is uniquely positioned to support innovations like Argu-mint owing to its Internet-scale decentralized AI infrastructure that includes:

• Distributed Storage Network (DSN): Ensures data transparency and availability.
• Proof-of-Archival-Storage (PoAS): Ensures data permanence and integrity.
• Open-source LLMs on DeCC: [Coming Soon]: Ensures censorship resistance.

Interested? Build a proof-of-concept using the Auto SDK for our Auto Horizon developer challenge and win major prizes!

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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.

X | LinkedIn | Discord | Telegram | Blog | Docs | GitHub | Forum | YouTube

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