Gato 🐱🔸

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Veilnet private MCP server testing is underway. Defining the privacy agentic framework. We see an early agent flow connected directly to Veilnet MCP tools, creating a weekly $50 USDC → ETH DCA agent with encrypted parameters. This is the next step for Veil AI: not just private prompts, but private agentic workflows. The goal is to let users create AI agents that can interact with Veilnet without exposing the full strategy behind the action. Example use cases: private DCA agents encrypted portfolio strategies shielded payment agents confidential research agents private AI execution workflows wallet-aware assistants with reduced data leakage future rebalancing and automation flows In this test, the strategy parameters are encrypted before leaving the user environment. Veilnet does not need to see the plaintext strategy. The MCP server only stores encrypted configuration data, while the agent can later retrieve, decrypt locally, and execute through Veilnet rails. That means an agent can be useful without turning every strategy, payment instruction, or wallet action into exposed model context. This is the direction we are building toward: AI agents that can act without leaking the user’s full intent. Private prompts were the first step. Private MCP is the execution layer. Coming soon, part of the $VEILNET ecosystem.

cariani se pronunciou sobre o ganley

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