Whitepaper summaries

Essential reading to understand the OLAS tech stack + protocol

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These are decentralized services that require little to no human intervention, continuously operating to promote human autonomy.
Unlike traditional AI or autonomous systems controlled by centralized entities, Autonolas envisions services co-owned by collectives, benefiting human users without trading away privacy or control.
The platform contrasts current AI systems (like self-driving cars or AI assistants) by decentralizing ownership and operation.

Autonolas uses agent services, where independent software agents interact to achieve specific goals.
These agents are made up of modular code components, designed for composability—like Lego bricks, they can be combined and reused to create more complex systems.
On-chain registries allow developers to publish, find, and reuse these code components, making it easier to develop and extend services.
Services are maintained by a service owner and executed by multiple operators, ensuring decentralized coordination.

The OLAS token is central to the system, following an inflationary model where token emissions gradually decrease over time.