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MGC Blackbox
Run AI agents without exposing your cognitive assets
Modern AI agents read your files, API keys, and business logic in plaintext. MGC Blackbox provides an encrypted local execution layer so agents can run your workflows without accessing your cognitive assets. It offers private local actions, sealed script execution, encrypted storage, cross‑node secure tasks, and native MCP compatibility. Local‑first design: only version check touches the network.
Hi Product Hunt 👋 I’m zkeviny, creator of MGC Blackbox.
Modern AI agents are powerful, but they require full plaintext access to your files, scripts, API keys, and business logic. This means your workflows and accumulated expertise — your cognitive assets — are exposed every time you automate with AI.
MGC Blackbox was created to solve this problem.
🔐 What is MGC Blackbox?
A local encrypted execution layer for AI agents. It lets agents run your workflows while your scripts, rules, and know‑how remain sealed and unreadable.
🧠 Mary’s Real Story
Three months ago, Mary’s boss told her: “All your workflows must be migrated to the company’s AI agent. Even your decision rules must be handed over.”
She realized everything she’d built — her judgment, experience, and know‑how — would soon be distilled into automation.
She asked me: “Is this what the AI era means? Must I surrender my cognition to use AI?”
That question became MGC Blackbox — AI automation without giving up your cognitive assets.
🧩 Core User Benefits
• Private Local Actions — agents trigger workflows but never access raw source files
• Cognitive Asset Protection — your logic runs but cannot be copied or extracted
• Controlled Capability Sharing — expose tools to agents while keeping internals sealed
🔒 Technical Highlights
• Encrypted local storage for secrets, configs, and private knowledge (AES‑256)
• Sealed script runtime: executable but unreadable source content
• Encrypted cross‑node task execution across trusted devices
• Native MCP compatibility with mainstream AI agent frameworks
• Local‑first design: only version check requires network access
• Auditable codebase: Python modules readable; cryptographic core Cython‑compiled
📦 License & Ecosystem
MGC Blackbox uses a custom open license: free to use and integrate, with cryptographic core modification restricted to protect ecosystem integrity.
📍 Links
GitHub: https://github.com/zkeviny/MGC-B...
PyPI: https://pypi.org/project/mgc-bla...
Thanks for checking out MGC Blackbox.
If local‑first AI security matters to you, I’d love your thoughts and feedback!
Imagine each of us has a personal black box filled with switches.
No one — not even ourselves — can see what’s inside.
But when we reach in, we somehow know exactly which switch lights up which lamp,
or even a whole chain of lamps.
And multiple people can collaborate to light up an entire sequence together.
your cognition stays opaque, but your capabilities remain usable.
If you're curious about this black box, happy to dive deeper.
If you want to know about the technical side — here’s how MGC Blackbox actually works under the hood.
Simple premise: your cognition shouldn't be exposed to the model or the cloud
Three core capabilities:
1. Sealed Local Storage (AES‑256)
Notes, prompts, workflows, memories — all encrypted locally. Keys never leave your device, model never sees plaintext.
2. Tamper‑Resistant Script Execution
Scripts compiled into bytecode. AI can execute them but can't read or modify the logic — no extraction, no reverse engineering.
3. Cross‑Node Secure Execution (RSA‑2048)
Only encrypted payloads travel between devices. Data stays put, capability flows.
In short: let AI do the work, but keep it blind to what you're thinking 🚀
Details here: https://github.com/zkeviny/MGC-B...
About MGC Blackbox on Product Hunt
“Run AI agents without exposing your cognitive assets”
MGC Blackbox was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #124 on the daily leaderboard. Modern AI agents read your files, API keys, and business logic in plaintext. MGC Blackbox provides an encrypted local execution layer so agents can run your workflows without accessing your cognitive assets. It offers private local actions, sealed script execution, encrypted storage, cross‑node secure tasks, and native MCP compatibility. Local‑first design: only version check touches the network.
MGC Blackbox was featured in Productivity (653.8k followers), Developer Tools (514k followers) and Security (2.7k followers) on Product Hunt. Together, these topics include over 216.6k products, making this a competitive space to launch in.
Who hunted MGC Blackbox?
MGC Blackbox was hunted by New User. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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