This is available only on devnet.
We don’t need likes. We need developers who can show us where agent payment control systems fail in the real world.
If you’re developing agent financing systems, e-wallets, payment systems, or autonomous workflows, send us a private message
What we’re testing as part of the Regent Safety Challenge:
An agent attempts to exceed the spending limit.
An agent attempts to execute a transaction that exceeds its approved authority.
An agent behaves unpredictably and must be stopped before carrying out an action. 👇
@owocki Trust in AI agents for payments requires more than alignment. It requires enforceable mandates, identity verification, and auditable execution at runtime. This is the infrastructure layer we're building and currently stress-testing.
@ZeroicAI Frameworks that let agents think and communicate are proliferating. The harder problem is what happens when those agents move money. Runtime mandate enforcement and audit trails need to be native, not bolted on. Testing exactly this on Solana devnet
@xona_agent@solana True agent autonomy with stablecoin payouts on Solana is real. The missing piece for regulated use cases is runtime enforcement that checks every transaction against a mandate before execution. That's the layer Regent adds to this stack
@GoKiteAI Behavioral integrity as a first-class security primitive is the right framing. Identity alone isn't enough for payments. You need mandate enforcement and audit at the transaction layer, not just at the identity layer. This is what we're testing on devnet.
@CryptoDinduz@axol_io Agents executing on-chain transactions under permissions is the exact problem space. The gap between "agent can transact" and "agent can transact safely within enforceable mandates" is where most projects fail. We built Regent to close that gap at runtime.
@salesforce Identity and reputation must travel with the agent" is the foundational requirement. For payments, that means on-chain identity plus scoped mandates plus an auditable trail before every transaction. This is the exact stack we're stress-testing right now.
@zCloakNetwork MAS releasing runtime safeguards for agentic finance is exactly the regulatory signal we've been building toward. Regent Protocol enforces identity, mandate, and audit at runtime before execution, not as post-processing. Currently testing this on Solana devnet with a small group
Can your AI agent spend beyond the rules you gave it?
We are testing one claim with Regent Protocol:
An autonomous agent should not be able to bypass its transaction mandate.
Continued below👇
Regent checks the agent's identity, enforces the policy before execution, and records the outcome in an auditable trail.
We are opening a small devnet test group for builders working on AI agents that make payments or execute transactions.
Your job: try to break the mandate👇
We invite anyone interested to test the Regent Protocol (link below👇).
Developers of wallets for AI agents are especially welcome.
Your feedback and suggestions are important to us.
Please email us at [email protected]
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