88 lines
2.9 KiB
Markdown
88 lines
2.9 KiB
Markdown
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---
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layout: home
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hero:
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name: MemPalace
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text: Give your AI a memory.
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tagline: "96.6% recall on LongMemEval in raw mode. Local-first, open source, and usable without an API key."
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image:
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src: /mempalace_logo.png
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alt: MemPalace
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actions:
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- theme: brand
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text: Get Started
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link: /guide/getting-started
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- theme: alt
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text: Architecture →
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link: /concepts/the-palace
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- theme: alt
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text: GitHub ↗
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link: https://github.com/milla-jovovich/mempalace
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features:
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- icon:
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src: /icons/file-text.svg
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alt: Verbatim Storage
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title: Verbatim Storage
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details: Store source text directly instead of extracting facts up front. The raw benchmark result comes from retrieving verbatim content.
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- icon:
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src: /icons/building-2.svg
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alt: Palace Structure
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title: Palace Structure
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details: Wings and rooms give retrieval useful structure. In the project benchmarks, narrowing search scope outperformed flat search.
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- icon:
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src: /icons/search.svg
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alt: Semantic Search
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title: Semantic Search
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details: ChromaDB-powered vector search lets the model retrieve past discussions by topic, project, or room.
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- icon:
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src: /icons/git-merge.svg
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alt: Knowledge Graph
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title: Knowledge Graph
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details: Temporal entity-relationship triples in SQLite. Facts can be added, queried, and invalidated over time.
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- icon:
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src: /icons/wrench.svg
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alt: 19 MCP Tools
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title: 19 MCP Tools
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details: MCP tools expose search, filing, knowledge graph, graph navigation, and diary operations to compatible clients.
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- icon:
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src: /icons/shield-check.svg
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alt: Zero Cloud
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title: Zero Cloud
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details: Core storage and retrieval run locally on ChromaDB and SQLite. Optional reranking features can add an API dependency.
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---
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<style>
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:root {
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--vp-home-hero-name-color: transparent;
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--vp-home-hero-name-background: linear-gradient(
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135deg,
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#4f46e5 0%,
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#06b6d4 50%,
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#8b5cf6 100%
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);
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}
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</style>
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<div style="max-width: 688px; margin: 0 auto; padding: 48px 24px 0;">
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## Verbatim Retrieval First
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MemPalace starts from a simple premise: **store the source text and retrieve it well**. The benchmarked raw mode does not require an LLM extraction step.
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| System | LongMemEval R@5 | API Required | Cost |
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|--------|----------------|--------------|------|
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| **MemPalace (hybrid)** | **100%** | Optional | Free |
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| Supermemory ASMR | ~99% | Yes | — |
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| **MemPalace (raw)** | **96.6%** | **None** | **Free** |
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| Mastra | 94.87% | Yes | API costs |
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| Mem0 | ~85% | Yes | $19–249/mo |
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The raw 96.6% LongMemEval result is the baseline story: strong recall without requiring an API key or an LLM in the retrieval pipeline.
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<div style="text-align: center; padding-top: 16px;">
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<a href="./reference/benchmarks" style="color: var(--vp-c-brand-1); font-weight: 500;">Full benchmark results →</a>
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</div>
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</div>
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