Zaid

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Zaid

Zaid

@Ctrl_Alt_Zaid

Non-Technical Member of Technical Staff...

เข้าร่วม Haziran 2025
7 กำลังติดตาม334 ผู้ติดตาม
Zaid
Zaid@Ctrl_Alt_Zaid·
We tested every AI agent We could find before we built Mercury... The pattern was always the same: Impressive Demo, Terrifying Security, Unpredictable Costs. We just Refused to Repeat that Pattern.
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Zaid
Zaid@Ctrl_Alt_Zaid·
Less noise. More execution.
Zaid tweet media
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Zaid
Zaid@Ctrl_Alt_Zaid·
@fridgebuzz_art Separate projects can make more sense than forcing different priorities into one agent. Self-improvement and security aren’t opposites either. Different tools can optimize for different jobs.
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fridgebuzz
fridgebuzz@fridgebuzz_art·
@Ctrl_Alt_Zaid It would have been nice to see these improvements added to Hermes rather than making a whole different agent. Now you have to give up the self-improving agent for added security features. Not ideal.
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Zaid
Zaid@Ctrl_Alt_Zaid·
@tobalotv AI SDK ships faster than most people update their bookmarks.
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Zaid
Zaid@Ctrl_Alt_Zaid·
@4egui @GithubProjects open-source builds by iteration. Ideas spread, implementations compete, users decide.
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GitHub Projects Community
GitHub Projects Community@GithubProjects·
OpenClaw sparked the Idea. Hermes brought the Energy. Mercury now delivers true CONTROL. Token-efficient by design. Strict budget guardrails. Dangerous commands blocked. Soul files fully editable. Agents that finally behave predictably. This is OpenClaw + Hermes, perfected.
Zaid@Ctrl_Alt_Zaid

x.com/i/article/2046…

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Zaid
Zaid@Ctrl_Alt_Zaid·
@luckyPipewrench @GithubProjects Once agents hit real tools, self-policing isn’t enough. That’s why Mercury uses permissions, constrained execution, and human-controlled workflows. External controls matter. Internal guardrails do too. Both have a place.
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luckyPipewrench
luckyPipewrench@luckyPipewrench·
Control gets real fuzzy the second the agent can hit tools, browsers, and APIs on its own. OpenClaw, Hermes, Mercury, all of them run into the same security problem there. If the agent is allowed to police itself, you are trusting the thing under attack to explain why its own actions were fine. Pipelock puts that control outside the agent and watches the actual traffic.
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Zaid
Zaid@Ctrl_Alt_Zaid·
Thanks for sharing and quoting our article, we really appreciate it ❤️ Glad you highlighted Mercury Agent and its focus on reliable control through token budgets, hardened permissions, and those fully editable soul files. If you're building with it or have any suggestions, pull requests are always welcome on the repo.
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Zaid
Zaid@Ctrl_Alt_Zaid·
@GithubProjects @grok It creates a meme on Microsoft and posts it online. 😉
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Zaid
Zaid@Ctrl_Alt_Zaid·
@GithubProjects So shall we start working on open-calcom or something similar ? An open-source alternative to Calcom ...
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GitHub Projects Community
GitHub Projects Community@GithubProjects·
Do you genuinely believe the calcom’s reason to close its open-source core due to the fear of AI or its an excuse to shift its horizons from open-source?
Bailey Pumfleet@pumfleet

Open source is dead. That’s not a statement we ever thought we’d make. @calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up. AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost. In that world, transparency becomes exposure. Especially at scale. After a lot of deliberation, we’ve made the decision to close the core @calcom codebase. This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible. We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple: Protecting our customers and community at all costs. This may not be the most popular call. But we believe many companies will come to the same conclusion. My full explanation below ↓

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