VisionMission

Introduction and Mission

Tangle is the shared operating layer for autonomous work: a workbench for teams and agents, a sandbox runtime for execution, and a protocol that pays the operators who host it. Every run emits evaluations so workflows improve with evidence, not guesswork.

We started by building a protocol for complex services (MPC, zero-knowledge, distributed systems). That foundation maps directly to what AI needs: isolation, coordination, and economic accountability.

Mission

Make autonomous work safe, verifiable, and economically aligned.

AI should ship with the rigor of critical infrastructure. That means isolation by default, reviewable outcomes, and incentives that reward reliability.

Problem

Autonomous work today is brittle: tasks run outside policy, results lack evidence, and responsibility is unclear. Teams either build their own infrastructure or avoid delegation entirely.

What Exists Today

  • Managed workbench + runtime: build, run, and review agent workflows with isolation, policy gates, and evaluation tools.
  • Blueprint SDK: package services into reusable components with predictable interfaces.

Where It Goes

  • Operator marketplace: runtime hosting becomes decentralized and paid through the protocol.
  • Protocol-native coordination: payments, reliability, and service discovery move on-chain.

What Tangle Is

  • Agentic workbench: A shared workspace where humans and agents build and run autonomous work.
  • Sandbox runtime: The execution layer that isolates tasks with policies, resource limits, and audit logs.
  • Protocol: The coordination and payment layer that lets operators host workloads and get paid.
  • Evaluation loop: Task and agent evaluations that improve workflows over time.

Who This Is For

Start Here

The Long Term

As AI becomes a workforce, the world needs an operating layer that turns intent into execution and settlement. Tangle is building that layer: where autonomous work is authored, run safely, and paid at scale.