Jellyfish is a lightweight, portable AI library written in pure C with no external dependencies. Designed for embedded and trust-critical systems, it uses blockchain-inspired techniques to provide transparent, verifiable learning and memory. Each input/output interaction is stored as a cryptographically hashed block, forming a tamper-resistant chain of reasoning and decisions. The system can learn from past inputs, respond based on memory, and automatically prune outdated or irrelevant data. This makes fossil_jellyfish ideal for AI applications that demand traceability, minimal resource usage, and self-cleaning behavior.
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