[Mao Mao's @0G_labs Eco Notes 1]

Under 0G endorsement, the collective leap of the universal AI architecture project.

In 2025, the focus of AI has long shifted from "how large the model parameters are" to "how to truly implement intelligence." Whether it's enterprise applications or on-chain ecosystems, how to efficiently allocate AI resources and make multi-agent collaboration trustworthy and verifiable has become a new core proposition.

This trend is vividly reflected in projects such as Oro Labs, Bagel Labs, Warden Protocol, and QuillAI. They explore the next evolution of AI architecture from the dimensions of enterprise-level collaboration, distributed validation, smart applications, and adversarial security. @procurewithORO @bagelopenai @wardenprotocol @QuillAI_Network

More importantly, the underlying support of these projects points to 0G — a modular infrastructure designed for AI, providing high-throughput computing, scalable data availability, distributed storage, and a verifiable execution environment for multi-agent networks.

1. Why is the general-purpose AI architecture naturally compatible with 0G?

Traditional AI applications often rely on a single cloud infrastructure, while the emergence of 0G has reshaped the underlying logic of AI.

• High throughput and low latency: The 0G Chain execution layer can support enterprise-level Agent calls, DeFi protocol logic, and AI inference triggers.

• Composable modular design: Storage, Data Availability (DA), and Compute can be invoked on demand, which is crucial for multi-scenario collaborative projects like Oro and Warden.

• Verifiable trust layer: Through ZK technology, on-chain verification, and cross-module synchronization, 0G enables smart outputs to have auditability—this precisely meets the technical needs of Bagel and QuillAI.

In other words, 0G is the operating system that "allows AI to collaborate, verify, and schedule in parallel."

2. Ecological Observation: Collective Leap of Four Typical Projects

1) Oro Labs: Orchestrator of Enterprise-Level AI Collaboration

Oro Labs is a global leader in enterprise-level procurement and workflow orchestration platforms, recently launching a no-code AI Agent Builder that allows enterprise teams to quickly create agents to handle complex tasks—from compliance reviews to supply chain management.

• Oro reduces the burden of manual approval through AI agents, improving decision-making efficiency across departments.

• Integration with 0G: 0G provides a scalable storage and high-concurrency chain execution environment, allowing Oro's intelligent agents to access on-chain data while securely storing logs and audit trails.

Oro has not only added AI capabilities but has also orchestrated human-machine collaboration into an "automated work orchestra," enhancing transparency and verifiability through the modular stack of 0G.

2) Bagel Labs: A New Paradigm for Distributed Verification

Bagel Labs is committed to addressing a core issue: how to prove that the reasoning of AI models is trustworthy?

• Its newly released ZKLoRA protocol can complete fine-tuning verification of open-source large models (such as Llama 3.3) within 1 to 2 seconds and is compatible with models having billions of parameters.

• This is almost impossible to achieve in 2024 due to high latency in zero-knowledge verification, but Bagel Labs has broken through this bottleneck.

Why does it need 0G?

• The core scenario of Bagel is high-frequency model validation and parameter submission, which has very high requirements for both the DA layer and the Compute layer.

• 0G's Data Availability and ZK Compute capabilities provide distributed verifiable computing power and data circulation assurance.

3) Warden Protocol: A full-stack foundation for on-chain native smart applications

Warden is a full-stack L1 protocol designed for developers, focusing on the concept of "Intelligent Apps":

• Provide AVR plugins and SPEX (Executable Verification) to ensure that on-chain/off-chain smart models can be securely invoked by smart contracts.

• Its three-layer structure (Blockchain Layer + Verification Layer + Application Layer) is essentially a set of AI + Blockchain interoperability protocols.

The role of 0G here is:

• Serves as a high-performance off-chain inference computing accelerator, providing storage and data availability support, helping Warden's agent ecosystem achieve cross-chain collaboration with high security.

4) QuillAI: The Security Defense Against Intelligent Threats

QuillAI is an Adversarial AI Network that helps on-chain AI Agents detect vulnerabilities in advance and "immunize" them by simulating hacking behaviors, intelligent attack paths, and other methods.

• It acts like an AI immune system, allowing agents to evolve in an attack-defense cycle.

• For QuillAI, 0G not only provides computing and verification capabilities but also offers on-chain traceability and a secure audit environment for its adversarial training.

3. The Path of Integration Between Enterprise Applications and Modular Chains

When companies integrate AI, what they often worry about the most is:

• Data privacy (Is it possible to not use the cloud?)

• Cost control (Can we quickly learn from mistakes?)

• Audit Compliance (Is it verifiable and traceable?)

The modular stack of 0G has opened a new path for enterprise-level AI applications:

• Chain: Responsible for putting business logic and processes on the chain (e.g., compliance audits of Oro)

• Storage: Store logs, sensitive information, and training data

• DA: Ensure that large-scale states and datasets are verifiable

• Compute: Run complex reasoning and verify ZK computations

This set of combinations is a "buildable foundation on demand" for builders who wish to create enterprise-level intelligent applications.

4. Bagel Mode vs Warden Mode: Two Positions of Chain-Native AI

• Bagel Mode: Focuses on verification (ZK + model credibility), more suitable for quality control and auditing in AI development.

• Warden Mode: Focused on Execution (Intelligent Apps + Agent), more like an "on-chain intelligent application factory."

Both share the commonality that they cannot do without the endorsement of 0G.

0G is not only the execution layer that carries them, but also serves as a public computing market and a trusted infrastructure for the multi-agent ecosystem.

When teams like Oro, Bagel, Warden, and QuillAI, which possess leading technologies in their respective fields, choose to integrate into the same modular infrastructure, the message conveyed is clear: 0G has already become the underlying consensus of the AI-native ecosystem.

For Builders, this means:

There is no need to reinvent the wheel; instead, stand directly on a scalable, verifiable, and collaborative "AI OS".

0G is not just a tool, but a foundational "protocol standard" that enables intelligent agents to collaborate with mutual trust.

@0g_CN @0G_labs @KaitoAI #KaitoYapper # AI @0G_Foundation