# Linera | The Real-Time Blockchain
Source: [https://linera.io/?utm_source=twitter&utm_medium=paid&utm_campaign=x_ao_traffic&utm_content=ethcc_v1?twclid=239m1oiwxjc2f1ae1oue1czhy2](https://linera.io/?utm_source=twitter&utm_medium=paid&utm_campaign=x_ao_traffic&utm_content=ethcc_v1?twclid=239m1oiwxjc2f1ae1oue1czhy2)
##### “Few Layer 1 solutions can deliver this level of scalability and trust\.”
##### “Few Layer 1 solutions can deliver this level of scalability and trust\.”

Paksy Plackis\-Cheng
Co\-Founder & CSO
Staex
##### “Reliable real\-time data and scalable storage together enable applications previously impossible to build\.”
##### “Reliable real\-time data and scalable storage together enable applications previously impossible to build\.”

Rebecca Simmonds
Managing Executive
Walrus Foundation
##### “Fast, trustless queries combined with real\-time execution unlock a powerful new design space\.”
##### “Fast, trustless queries combined with real\-time execution unlock a powerful new design space\.”

Stephen Hilton
Head of Solutions
Space and Time
##### “Decentralized energy systems need transparency and scale—this architecture finally delivers both\.”
##### “Decentralized energy systems need transparency and scale—this architecture finally delivers both\.”

Mohan Kuldeep Ponnada
CEO
DeCharge
##### “Verifiable computing needs real\-time guarantees—this architecture brings both into a single system\.”
##### “Verifiable computing needs real\-time guarantees—this architecture brings both into a single system\.”

John Bornham
CEO
Argument Computer Corporation
##### “Privacy, security, and real\-time speed together make decentralized AI truly production\-ready\.”
##### “Privacy, security, and real\-time speed together make decentralized AI truly production\-ready\.”

Jorge Antonio
CTO & Co\-Founder
Atoma Network
##### “Scalability and decentralization finally coexist here—unlocking real\-time markets and new Web3 applications\.”
##### “Scalability and decentralization finally coexist here—unlocking real\-time markets and new Web3 applications\.”

Alex Radu
Founder
Astrarizon & ACC Ventures
##### “Real\-time execution let us scale actions and XP tracking across massive user flows\.”
##### “Real\-time execution let us scale actions and XP tracking across massive user flows\.”

Tudor Esan
Core Developer
Pulsar Money
##### “Speed and scalability at once is rare—Linera finally delivers both for modern apps\.”
##### “Speed and scalability at once is rare—Linera finally delivers both for modern apps\.”

Itai Turbahn
Co\-Founder & CEO
Dynamic
##### “Proofs and performance working together unlocks an entirely new class of secure systems\.”
##### “Proofs and performance working together unlocks an entirely new class of secure systems\.”

Alex Rocky
Co\-Founder
Soundness
##### “Horizontal scaling with real\-time guarantees makes Web3 feel seamless for developers and users\.”
##### “Horizontal scaling with real\-time guarantees makes Web3 feel seamless for developers and users\.”

Alessandro De Carli
Co\-Founder
Acurast
##### “Powering autonomous agents at scale demands real\-time infrastructure—Linera finally makes that possible\.”
##### “Powering autonomous agents at scale demands real\-time infrastructure—Linera finally makes that possible\.”

LangChain's Deep Agents allow untrusted agent-written code to run securely using WebAssembly-based code interpreters, providing execution and capability isolation without a traditional sandbox.
The article argues that current agent harness frameworks like LangChain and CrewAI bundle independent concerns into a monolithic block, leading to inflexibility. It introduces the iii engine, where each responsibility is a separate, swappable worker connected via a shared bus and a single trigger primitive, allowing developers to compose their own harness by swapping workers rather than forking a framework.
LangChain introduces LangSmith Sandboxes, providing each AI agent with its own isolated computer environment for safe code execution, addressing security risks of running untrusted code in containers or locally.
An AI agent built with LangChain continuously monitors its own codebase, flags missing monitors, and automatically opens PRs to fix bugs it finds, as described by Alex Shevchenko from Ramp.