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Krako-Labs/KORA — GitHub trending stats & insights | Trendshift
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Krako-Labs/KORA
#
AI workflow
An Inference Operating System that reduces unnecessary LLM calls by structuring intelligence before scaling it.
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Python
18
20
9 contributors
Apache License 2.0
Social mentions
Recent discussions about this repository across the web
Here is my meme for @Krako_cloud KORA helps reduce unnecessary AI calls and optimize costs. 🔗
@Ananya_depin · x.com
🚀 KORA Guide #4 Understanding Task Graphs Most AI apps: Request → Model → Output KORA: Request → Task Graph → Execution Path → Output Why use Task Graphs? ✅ Structured workflows ✅ Better…
@Krako_cloud · x.com
The future of AI may be fewer model calls, not more. ⚡ KORA Validate first. Route intelligently. Use AI when needed. #AI #OpenSource #LLM #KORA
@Sumanta_krako · x.com
KORA Guide #3 Try 👉 Most AI apps call the model too soon. Traditional flow: Request → Prompt → Model → Output KORA flow: Request → Task Graph → Validation → Deterministic Path → Model Escalation (if…
@Krako_cloud · x.com
🚀 KORA Guide #2 Try 👉 KORA 101: How KORA Works Most AI apps struggle with: • Duplicate requests • Higher token usage • Rising costs • Scaling challenges KORA helps by: ✅ Intelligent routing ✅ Smart…
@Krako_cloud · x.com
Millions of devices sit idle every day while AI infrastructure costs keep rising. That contradiction inspired KORA( We’re exploring a more decentralized + efficient approach to AI infrastructure…
@Krako_cloud · x.com
We’re excited to see so many developers already exploring KORA ⚡ Your feedback is helping us improve faster every day. If you’re building or experimenting with KORA and run into any bugs, errors, or…
@Sumanta_krako · x.com
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