ElizaOS meets iExec Confidential Computing. We're building the foundation for the next generation of trusted AI agents.
Last month, we launched the first elizaOS plugin for iExec, giving AI agents privacy-preserving powers to manage data, wallets, and dApps securely, with no code or config required.
Today, we’re taking it one step further.
We’ve released fully isolated agents running inside Intel TDX, along with docs and a reproducible blueprint for building secure, autonomous AI agents.
Agents are changing how we create, build, and collaborate.But to scale, agents need something essential: trust.
🔸 Privacy is non-negotiable
AI agents work with sensitive data: private prompts, crypto assets, wallets.To be useful, they need access. Without privacy, there’s no trust. Without trust, they don’t scale.
🔸 iExec, the Trust Layer for AI Agents
Our Confidential Computing stack protects agent logic and data, so builders can automate with confidence, not compromise. Approved by ElizaOS.
To demonstrate iExec’s confidential computing for AI, we deployed an autonomous agent built on the elizaOS framework. It runs entirely within an Intel TDX virtual machine, ensuring complete isolation and privacy.
This agent can tweet, reason, respond, show personality, and even act on-chain. Go say hi Say hi to the @iExec_intern 🤖
With our Confidential AI Framework, you can now run trusted agents that handle sensitive data. Key features include:
Builders can now prove that an agent’s decision logic is:
✅ Executed confidentially
✅ Operated autonomously, without external interference (tamper-proof logic)
Every layer of the AI agent stack runs in full isolation: personality config, prompt orchestration, model behavior, memory, and logic flow All of it runs inside a Trusted Execution Environment, inaccessible even to privileged system processes.
This AI agent use case was designed with the elizaOS framework in mind and is fully reproducible. Learn more:
🔗Check the code. Fork it, and integrate it directly into your own agent workflows.
