Think about sending an agent to do important tasks for you. How do you know it’s
actually doing what you asked and not being controlled by someone else? How do
you ensure that it will always “stay on” and execute its goals? With Ritual, you
can build on-chain agents that anyone can verify, while utilizing native AI
capabilities and enshrined scheduling.
Trust remains a fundamental challenge in current autonomous agent systems, as
agents lack robust mechanisms to prove their autonomous operation. Users
have no reliable way to verify that the systems are truly operating
independently without human interference, and there’s an absence of verifiable
proof for the actions these agents take. This opacity in operation creates a
significant barrier to user trust and widespread adoption.Current autonomous agents are also hampered by substantial technical constraints
that limit their effectiveness. Their action space is notably restricted,
preventing them from executing more complex or nuanced operations. Integration
with external services remains poor, requiring frequent manual context
updates that reduce the agents’ ability to respond dynamically to changing
conditions or requirements.Security vulnerabilities pose another significant concern in existing
autonomous agent implementations. These systems face ongoing risks of model
tampering, while their social outputs lack proper verification mechanisms.
Additionally, wallet security issues present serious risks to asset
management and transaction execution, potentially compromising the entire
system’s integrity.