GraphBit- an AI frameworks that scale, not collapse

Most frameworks shine in demos.

But when you put them under real workloads → they burn CPU, leak memory, crash agents, and cost huge amount of dollar in electricity.

We built GraphBit to fix that.

Why it’s different:

• Rust core → lock-free concurrency, dependency-aware scheduling

• Efficiency → CPU usage 0.000–0.352%, memory footprint <0.12 MB

• Resilience → circuit breakers, error classification, adaptive retries

• Data layer → hybrid search, versioned memory, real-time ingest

• Green AI → ~14× more efficient → billions in electricity savings + millions of tons of CO₂ avoid

The bigger picture

IDC forecasts 1.3B AI agents by 2028.

At today’s efficiency → that’s 34 TWh/year → €7.3B in energy bills → ~8M tons of CO₂.

GraphBit cuts this up to 14×. That’s not just cheaper — it’s sustainable.

Recent milestones

• Patent filed

• #2 Product of the Day on PH

• Pilots with global enterprises

GraphBit isn’t another orchestration library.

It’s a foundation for production-grade AI- the kind that can scale in finance, energy, automotive, aerospace.

Try it here: https://github.com/InfinitiBit/graphbit

Question for you:

What’s broken most when you tried to take AI from demo → production: efficiency, resilience, or data?

— Musa