ORA announced the launch of its Resilient Model Services (RMS) and opAgent Framework. RMS is designed to provide decentralized, verifiable, and cost-efficient inference.
The opAgent Framework aims to address vulnerabilities in existing AI systems by reducing reliance on centralized control points and leveraging blockchain technology for continuous operation.
Advancing AI Autonomy
ORA’s RMS is at Stage 1 and is hitting the ground running. It enables users to build and integrate advanced AI systems with verifiable, resilient, and decentralized computation. As a foundation for verifying off-chain computation for AI, it has offered competitive API rates for DeepSeek R1 since January 27th. The team is planning three additional stages for release in the first half of 2025.
The opAgent Framework represents a fundamental shift in how artificial intelligence operates within decentralized systems. Through the introduction of opML (Optimistic Machine Learning) technology, ORA has created AI agents that maintain permanent ownership of digital assets, operate through verifiable computations, and evolve through mathematical consensus.
Traditional AI systems have remained tethered to centralized control points, creating a paradox where decentralized networks rely on centralized intelligence. The opAgent Framework aims to resolve this contradiction by establishing truly autonomous digital entities that exist indefinitely through the blockchain, ensuring transparency and verifiable operations at every level.
This is achieved through a combination of RMS, which verifies offchain computation, and smart contracts which verify the agent’s actions onchain. So, the RMS and onchain agent (working with a wallet and through smart contracts) is the opAgent.
Central to the framework is the AI agent wallet, a smart-contract-based system that eliminates traditional private key vulnerabilities. This innovation ensures that AI agents can securely manage digital assets while maintaining decentralization. The platform’s On-chain AI Oracle (OAO) facilitates verifiable computations and trustless validation of agent actions, while RMS does the same for offchain actions.
Enhancing AI Security and Autonomy
The opAgent Framework’s approach to AI security represents a significant advancement over traditional systems. By removing reliance on private keys and implementing smart-contract-based control mechanisms, the platform ensures that AI agents cannot be compromised through conventional attack vectors.
This security model extends beyond basic protection to enable truly autonomous operation, where agents can evolve and adapt while maintaining verifiable integrity.
The framework’s innovative consensus mechanism allows multiple agents to collaborate securely, validating each other’s actions through mathematical proofs rather than centralized authority.
Building for the Future
RMS and the opAgent Framework address several critical challenges in the AI industry:
- Complete elimination of centralized control points
- Verifiable computation through blockchain technology
- Permanent asset ownership for AI entities
- Self-reinforcing economic models
- Collaborative problem-solving capabilities
Through its innovative architecture, the platform enables AI agents to perform both on-chain and off-chain actions while maintaining full verifiability. This capability extends to creating and transferring digital assets, engaging in decentralized finance protocols, and interacting with users through decentralized API services.
About ORA
ORA is pioneering the Verifiable Agentic Economy through chain-agnostic infrastructure that bridges AI and web3. The company empowers developers with tools to build trustless AI-powered decentralized applications, onchain perpetual agents, and more using verifiable AI inference. ORA’s platform is live today, offering the capability to verify and run inference on sophisticated AI models without limitations.
For more information, users can visit the ORA website or follow the ORA Protocol on X
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