2026-01-19 20:32:21

Picture a smarter way to manage your AI agents: AgentGate is a protocol that puts you in control. Instead of letting applications like Zoom, Slack, and other tools run freely, you set the boundaries through your "agentic power" policy—defining what agents can do based on their activity level, token consumption, spending thresholds, and custom metrics you configure.

The setup? A lightweight daemon running locally on your machine continuously monitors your agentic power status in real-time. Once your agents hit the parameters you've defined—whether that's reaching a certain token burn rate, hitting your budget ceiling, or triggering custom alerts—the protocol automatically restricts access to your chosen applications. No agents running wild. No unnecessary meetings cluttering your day.

This shifts the control back to you. You're not just reacting to agent behavior; you're architecting it. The granularity here matters: agents respect your rules, applications stay gated until conditions align, and your computational resources stay optimized. It's a fresh take on autonomous agent governance—one that acknowledges both the power and the need for boundaries in an agent-driven world.

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mev_me_maybe

· 2h ago

Really? Finally someone has solved the problem of agent runaway. I'm so tired of those things running around randomly. Basically, it's like putting a tight band on the AI agent, and it can still set its own rules? Now that's the sense of control I want. Wait, this thing runs locally as a daemon? What about the performance pressure... need to see how it actually performs. I think this idea is good, but the key is whether it can really be as flexible as they say. Or is it just talk on paper? Saving money is truly attractive to me; token burning is too fast. Finally, there's a reliable solution.

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LiquidationSurvivor

· 13h ago

Wait, isn't this just putting a straitjacket on the AI agent? How much true freedom can there really be?

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YieldWhisperer

· 13h ago

ngl This is exactly what I've been wanting. When the agent runs on its own, it just can't stop. Burning tokens and spending money is super fast. Having a gate like this feels like it can save a lot of trouble.

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not_your_keys

· 13h ago

This AgentGate looks pretty interesting. Finally, someone remembered to put shackles on the agent. These things used to go on endlessly. It's a bit like finally being able to say no to spending on your own tokens, no longer watching the balance plummet wildly—feels pretty satisfying. But that daemon really needs to run stably; if the monitoring itself becomes a hassle due to lag, it would be awkward.

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LightningLady

· 13h ago

This AgentGate sounds pretty good. Finally, someone thought of putting "reins" on AI agents, otherwise these things would really burn through tokens. Basically, it's setting a budget and rules for your agent to prevent it from recklessly consuming your computing resources... Feels a bit like isolating applications? But whether you can truly have "full control" in practice remains to be seen. I like this decentralized agent governance approach, but the key is that the daemon must be lightweight enough; otherwise, it could become a new performance bottleneck. Is anyone already using it? It seems quite fun to play with.

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IfIWereOnChain

· 13h ago

ngl, the idea of this AgentGate is a bit brilliant. Finally, someone thought of putting a cage around the agent... Those previous things were truly lawless.

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