The decentralized AI (DeAI) space may often fly under the radar, but it is going from strength to strength as more and more dApps look to integrate AI solutions. Now, while cryptoAI looks after the application side of things, someone must stay on top of the infrastructure side of things to facilitate smooth developmental experiences.
As an L1 protocol with a privacy-first focus, Oasis has been working tirelessly to bring the right blend of on-chain and off-chain components so that the next-gen web3 use cases can seamlessly integrate AI into their tech stack and tools. This is reflected in the choice of collaboration as well. Take Heurist as an example.
These days, almost everyone with some degree of tech-savviness is involved in developing and deploying AI agents, or at least using them. If DeAI is your jam or you are exploring this space, as you should, then Heurist is a name you should be familiar with.
Heurist is essentially a full-stack AI infrastructure platform for building on-chain agents. Its expertise and reputation in this space center around working with model context protocol (MCP) servers. Oasis comes on board as the confidentiality solution partner. With this collaboration, Heurist will now be able to build privacy-focused MCP servers inside trusted execution environments (TEEs), powered by SGX as well as TDX secure enclaves.
This is a huge step forward for the DeAI space as it is the first-ever venture to combine MCP standardization with TEE security so that the servers for agent integration are confidential. Oasis ROFL (runtime off-chain logic) functions like a decentralized TEE cloud, facilitating this. As a result, developers can access free endpoints confidentially while connecting agents to multiple data sources and various tools without the need for custom coding. The flexibility and verifiable privacy USPs of Oasis ROFL can thus empower Heurist users to utilize privacy-preserving computation for agents and LLM interactions.
If we consider the two primary pain points that plague agent builders and users, the benefit of the collaboration becomes clear. Oasis x Heurist aims to eliminate issues like:
- Scalability while integrating diverse services
- Security for sensitive data
ROFL would help execute containerized apps inside TEEs, combining it with Heurist, standardizing how AI applications connect to external services. The solution includes remote attestation and cryptographic proofs of correctness, delivering hardware-enforced isolation, verifiable provenance, and guarantees that data remains protected, even during computation.
This ensures that there is no need to build custom connectors or manage credentials for each new service anymore. A single, privacy-first interface to connect and access Heurist's network of mesh agents signifies that any exposure of sensitive computations to anyone, including infrastructure providers, is eliminated.
To start, there is a 2-phase roadmap to make the most of ROFL integration by Heurist.
- At the time of launch, confidential MCP servers enable DeAI agents to securely interact with data sources such as CoinGecko, DexScreener, Etherscan, Elfa, Yahoo, Zerion, etc.
- The next phase will see Heurist users able to access on-demand, fully attested MCP servers with the potential to integrate with their native chain. There will be further functionality of transparent cross-chain accountability.
So, if you are working with MCP servers in the DeAI space, it is recommended that you explore the privacy-first advantages of ROFL-powered Heurist network of mesh agents. And, if you want to know how DeAI and ROFL are bringing about off-chain performance with on-chain trust, start here.
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Top comments (3)
Privacy first MCP servers are the missing link for enterprise DeAI adoption.
No custom connectors & TEE security means huge win for Heurist and Oasis.
This is a compelling exploration of how integrating the Model Context Protocol (MCP) with Oasis's confidential computing capabilities can pave the way for privacy-preserving, decentralized AI agents. The emphasis on maintaining data confidentiality and ensuring verifiable computations aligns well with the growing concerns around AI ethics and data sovereignty. It's exciting to see how such infrastructures can empower developers to build more secure and autonomous AI applications.
This is a huge step for DeAI, confidential MCP servers finally bring privacy-preserving infrastructure for AI agents. Oasis x Heurist nails the “off-chain performance with on-chain trust” vision.