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kaida

Launching today

Larry Hicks: Engineering Autonomous Local AI

5 followers

Larry Hicks: Engineering Autonomous Local AI

5 followers

Welcome to Kaida2.com, your sovereign cybersecurity maintenance depot. We specialize in custom-compiled EDR hardening scripts, node diagnostics, and autonomous swarm management software. Explore our paginated libraries containing 120+ active defense modules. Authenticate via Google to access our secure web terminal simulator, download files individually starting at $0.50, or unlock our complete security package instantly with the $6.00 Core Bundle. Secure your systems today.

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Launch tags:Open Source•Artificial Intelligence•Security

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Hunter

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Hey everyone, I'm Larry, the creator of Kaida Titan! 👋 I've been building autonomous local systems and got frustrated with AI resetting its context every time the session ended. I wanted an AI that actually remembers what we worked on, so I built Kaida. Kaida Titan is designed to run entirely locally with zero cloud dependency. The core feature is the ACORP Memory Matrix—a persistent context system backed by a custom C++ performance bridge for ultra-low latency data retention. You can close the app, come back days later, and she picks up exactly where you left off. I’d love to get your feedback on the project, answer any questions you have about the Python/C++ architecture, or hear how you would use a truly persistent local AI. Let me know what you think!

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7h ago

A subscription tier would be nice, even something small like $3/month for a few modules a week. Buying individual scripts at $0.50 each adds up fast, and a recurring plan would make it easier to keep things updated without re-purchasing.

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2h ago

The paginated module library layout makes browsing 120+ scripts feel way less overwhelming than a giant dump list would, which is a smart UX call for something this dense. Solid execution on the secure terminal simulator too.

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2h ago

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2h ago

hello and welcome

Hey everyone,

I ve been heavily focused on local AI development recently, and one of the biggest bottlenecks I keep running into is session amnesia. Most local LLMs reset their context the moment you close the terminal, which severely limits autonomous workflows.

To solve this, I engineered a tiered memory protocol (ACORP) that saves states locally to disk. To prevent Python bottlenecks as the memory logs scale into the gigabytes, I built a custom C++ performance bridge to handle the raw disk I/O and SHA-256 cryptographic hashing.

I just deployed a web app to showcase the architecture called Kaida Titan.

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