We’re building NeuroCode – an experimental, open-source cognitive AI system that understands code using selective memory activation – just like the brain.
It:
- Extracts "code neurons" from files.
- Reactivates only what's relevant per context.
- Reduces LLM calls via long/short term memory simulation.
Goal: smarter, faster AI for large codebases without full-scale inference each time.
It: - Extracts "code neurons" from files. - Reactivates only what's relevant per context. - Reduces LLM calls via long/short term memory simulation.
Goal: smarter, faster AI for large codebases without full-scale inference each time.
Would love your feedback or suggestions. GitHub: https://github.com/FalahMsi/neurocode PDF Overview: [https://github.com/FalahMsi/neurocode/blob/master/initiative...]