Building an AI Agent with 17 Brain Regions
Most AI agents are stateless tools. MeshCtx is different - it's a cognitive architecture inspired by how the human brain actually works.
Why 17 Brain Regions?
The brain doesn't process everything in one area. Different regions handle different types of memory:
- Working Memory (16KB context window)
- Episodic Memory - stores events and experiences
- Semantic Memory - extracts patterns and knowledge
- Procedural Memory - learns skills and habits
- Consolidation - sleep-phase memory optimization
Key Results
| Metric | Score |
|---|---|
| EM Score | 54.2% |
| Judge Score | 83.3% |
| Tool Compression | -95.5% tokens |
The biggest surprise? Sleep-phase consolidation gave us +8.3pp improvement.
Open Source
GitHub: https://github.com/LucyAndLuna2023/meshctx
Built with Python, uses FSRS spaced repetition for memory consolidation.
What brain regions would you add to an AI agent?
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