M

MemPalace

Verbatim AI memory with semantic search — structured like an actual palace

PriceOpen Source / MITReviewed2026-04-26
Verdict — Ship
3 Ships1 Skips
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The Panel's Take

MemPalace is an open-source AI memory system that stores conversation history as verbatim text and retrieves it with semantic search. Unlike most memory tools that summarize or extract facts, MemPalace preserves exact wording in a spatially organized index: people and projects become wings, topics become rooms, and original content lives in drawers — enabling scoped searches rather than flat corpus scans. The project exploded in April 2026 when actress Milla Jovovich pushed a Python repo to her personal GitHub. Within 48 hours it had 7,000 stars; by April 8 it crossed 23,000 — briefly making it the #1 trending repo on GitHub. The benchmark claims were controversial: the team initially reported 100% on LongMemEval before community scrutiny revealed they'd fine-tuned on the test set, after which they revised to the pre-tuning 96.6% score. Despite the benchmark drama, the core architecture is genuinely novel. At 170 tokens per recall operation, MemPalace is among the most efficient memory systems available. It ships MIT-licensed, integrates with Claude Code, ChatGPT, and Cursor via MCP, and has amassed 19,500+ stars — making it one of the fastest-growing AI tooling repos of the year.

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MemPalace verdict: SHIP 🚀

3 ships · 1 skip from the expert panel

Full review: shiporskip.io/tool/mempalace-milla-jovovich-ai-memory-longmemeval-mit-2026

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Ship · 7.5/10
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The reviews

The spatial memory metaphor isn't just clever naming — scoped searches against wings and rooms meaningfully outperform flat vector search in my tests. MCP integration with Claude Code works out of the box. The 170-token recall cost is impressively lean.

Helpful?

The benchmark scandal should give everyone pause. A 'perfect score' that was quietly revised after community backlash is a serious trust problem. The project also has a 19-year-old maintainer and no organizational backing — production reliability is an open question.

Helpful?

Verbatim preservation beats summarization for anything requiring precision recall — legal, medical, project history. The palace metaphor maps surprisingly well to how human memory is structured. If the team can rebuild trust around benchmarks, this architecture has legs.

Helpful?

Having my exact previous prompts and feedback preserved — not paraphrased — and searchable by project/topic is transformative for iterative creative work. The studio wing stays separate from the client wing. It just makes sense.

Helpful?

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