Milla Jovovich and Ben Sigman release open-source AI memory system MemPalace achieving perfect score on LongMemEval Benchmark.

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Promote with Leviathan NewsActor Milla Jovovich and developer Ben Sigman have released MemPalace, an open‑source, local‑first AI memory system that aims to give AI assistants human‑like long‑term memory using a “memory palace” architecture. The project is notable both for its unusual Hollywood–crypto collaboration and for reporting state‑of‑the‑art results on academic long‑term memory benchmarks. According to Sigman’s announcement on X, MemPalace runs entirely on the user’s machine, organizing conversations into a structured hierarchy of wings, halls, rooms, and drawers rather than a flat vector database, and uses a custom AAAK compression dialect to pack a user’s core life context into roughly 120 tokens. This design is intended to let AI assistants recall personal details, projects, relationships and preferences before a user types a word, while keeping data private by avoiding cloud storage and external APIs. The system builds on existing open tools like ChromaDB and SQLite, and the memory layer itself operates deterministically via regex and keyword heuristics instead of additional LLM calls, which keeps it free to run and infrastructure‑light. MemPalace attracted significant attention after Jovovich and Sigman reported that it achieved a perfect score on the LongMemEval benchmark, a standard test suite for long‑term memory in AI assistants. Following scrutiny from developers, the project’s public documentation clarified that its core metric is 96.6% recall@5 on LongMemEval in raw mode, and 98.4% in a hybrid held‑out setting, with the maintainers explicitly rejecting “teaching to the test” to push the number to 100%. The combination of near‑state‑of‑the‑art benchmark performance, open‑source licensing (MIT), and a local‑first, privacy‑preserving design positions MemPalace as a reference architecture for long‑term memory in AI agents, and illustrates growing interest in offline, user‑controlled AI tooling.
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