A bio-inspired memory architecture that gives AI systems the ability to remember, forget, feel, and evolve. Built by one person. Outperforming funded competitors.
View benchmark resultsMost AI memory systems are built like databases: store text, search by similarity, return results. EXIA GHOST takes a different approach — modeling memory as a cognitive process with biological properties that pure retrieval systems cannot achieve.
Each store has its own retention rules, forgetting parameters, and retrieval characteristics — mirroring how the human brain uses different systems for different types of information.
Unused information fades naturally. Frequently recalled facts are preserved. Emotionally significant memories are protected indefinitely — exactly like human memory.
A structural interface that explicitly declares what the system knows and doesn't know. Eliminates hallucination at the architectural level, regardless of the underlying LLM.
Deterministic safety layer that operates before the LLM is invoked. Safety decisions are never delegated to probabilistic models. 0% bypass rate across all tested attack vectors.
Validated with Claude, Mistral, GPT-4o, GPT-4o-mini, and Llama. The architecture controls any LLM through structural constraints, not prompt engineering.
EXIA GHOST has been evaluated on two public academic benchmarks and 9 internal test suites — 435 automated tests and 900+ conversational exchanges. All results, methodology, and adapter code are published for reproducibility.
| System | LoCoMo | Funding |
|---|---|---|
| MemMachine | 91.81% | $43.5M |
| EXIA GHOST | 95.27% | $0 |
| EverMemOS | 92.32% | Shanda Group |
| Mem0 | 79.38% | $24.7M |
| Zep | 75.14% | $2.3M |
| Memobase | 73.29% | — |
As of March 2026, subject to change. EXIA GHOST is the only system to achieve 100% on Category 5 (adversarial) — zero hallucination on 446 questions. Full proprietary cognitive pipeline. Full comparison on GitHub.
Technical insights from developing and benchmarking EXIA GHOST.