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MindsEye — Turning AI Activity Into Auditable Organizational Memory

#devchallenge #muxchallenge #showandtell #video

DEV's Worldwide Show and Tell Challenge Submission 🎥

(Submission for: Overall Show & Tell + Best Use of Mux)

🎥 Pitch Video (Mux)

Mux Embed:

https://player.mux.com/N24z13lmiKdU6XBIvR1ktp8ixukNLb902ADvUEPT006h8

(1 minute · hosted & delivered via Mux)

🧠 What MindsEye Does

MindsEye is a ledger-first cognitive architecture that turns AI activity into immutable, queryable organizational memory.

Instead of overwriting prompts, logs, or decisions, MindsEye records everything as time-labeled ledger entries:

  • prompts & templates
  • executions & tool calls
  • workflow decisions
  • outcomes & scores

Think of it like:

  • Git history, but for AI decisions
  • observability, but for intelligence itself
  • memory that compounds instead of disappearing

❓ Why I Built It

Most AI apps today:

  • forget context
  • can’t explain why an output happened
  • lose trust the second something goes wrong

I built MindsEye because I want AI systems that:

  • remember
  • can be audited
  • can evolve transparently

MindsEye treats intelligence as something you record, not something you try to reconstruct after disaster hits.

⚙️ How It Works (Tech, but readable)

📊 Dataset (Immutable Ledger on Hugging Face)

A Hugging Face dataset acts as the append-only memory ledger:

https://huggingface.co/datasets/PeacebinfLow/mindseye-google-ledger-dataset

🧭 Live Explorer UI (Hugging Face Space)

A live interface queries the dataset server in real time:

https://huggingface.co/spaces/PeacebinfLow/mindseye-ledger-pet-explorer

🔁 Architecture Flow 

Prompt → Execution → Policy Gate → Action → Outcome → Ledger Entry
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Rules:

  • No overwrites
  • No silent failures
  • Everything traceable

So you can actually inspect how intelligence evolves, not just hope it does.

🎬 Why This Also Qualifies for “Best Use of Mux”

Mux isn’t just a random host here — it’s part of the delivery layer of the project.

For judges and devs testing submissions worldwide, Mux gives:

  • reliable, fast playback
  • clean embed in DEV posts
  • a smooth “show” experience (no weird buffering, no download links, no excuses)

And since MindsEye is literally about visibility and trust, Mux makes the “showing” part match the product philosophy.

Basically: MindsEye makes AI auditable, Mux makes the demo frictionless.

🌍 Who This Is For

  • AI startups shipping agent workflows
  • dev teams building LLM tooling
  • orgs that need compliance + explainability
  • anyone who’s ever yelled: “why did the AI do that??”

📈 Scalability / Would You Invest?

Yes — because:

  • regulations are coming (hard)
  • agent systems are growing (fast)
  • “organizational memory” is turning into a category, not a feature

This can evolve into:

  • AI observability + governance
  • long-term memory infrastructure
  • agent audit trails and policy systems

Big surface area. Very real demand.

🔗 Links

  • 📊 Dataset:

https://huggingface.co/datasets/PeacebinfLow/mindseye-google-ledger-dataset

  • 🧭 Live Explorer:

https://huggingface.co/spaces/PeacebinfLow/mindseye-ledger-pet-explorer

  • 🎥 Mux Video:

https://player.mux.com/N24z13lmiKdU6XBIvR1ktp8ixukNLb902ADvUEPT006h8

🏁 Final Note

This isn’t synthetic “demo data.”
This is a real system recording real AI behavior as a ledger.

MindsEye doesn’t just run intelligence —
it remembers it.

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