MemPalace vs SuperMemory: Which AI Memory System Should You Choose in 2026?
Two AI memory systems with different philosophies. One stores everything verbatim and scores 96.6% on LongMemEval. The other combines a memory graph with RAG for structured retrieval at 81.6%. Here is everything you need to decide.
MemPalace vs SuperMemory: MemPalace is a free, local-first AI memory system that scores 96.6% on LongMemEval (100% in hybrid mode) by storing conversations verbatim. SuperMemory combines a memory graph with a RAG pipeline for structured retrieval, scoring 81.6% on LongMemEval. MemPalace is MIT-licensed and runs entirely locally; SuperMemory is a cloud-hosted service with a free tier. MemPalace uses a spatial Memory Palace architecture with 19 MCP tools, while SuperMemory focuses on fast structured memory relationships.
Quick Verdict (TL;DR)
Choose MemPalace if…
- ✓You want maximum accuracy— 96.6% raw / 100% hybrid on LongMemEval
- ✓Privacy is paramount — fully local-first
- ✓Zero cost, MIT license, no vendor lock-in
- ✓You need verbatim storage— nothing is summarized away
Choose SuperMemory if…
- ✓You want structured memory relationships via graph
- ✓Cloud-hosted convenience matters most
- ✓You prefer a RAG pipeline approach to retrieval
- ✓You want to get started quickly with a free tier
Feature-by-Feature Comparison
| Feature | MemPalace | SuperMemory |
|---|---|---|
| LongMemEval Score | 100% (hybrid) / 96.6% (raw) | 81.6% |
| Pricing | Free (MIT) | Free tier available |
| Runs Locally | Yes, fully | No (cloud-hosted) |
| Deployment | Local-first | Cloud |
| Storage Approach | Verbatim + AAAK compression | Graph-based memory storage |
| Retrieval Method | 4-layer stack (L0-L3) | RAG pipeline |
| Memory Organization | Wings/Rooms/Halls/Closets/Drawers | Memory graph relationships |
| Data Privacy | Fully local, never leaves machine | Cloud-processed |
| MCP Tools | 19 tools | Not specified |
| API Keys Required | Optional (for reranking) | Required for cloud |
| Vector DB | ChromaDB (embedded) | Cloud-hosted |
| License | MIT | Proprietary (free tier) |
| Language | Python | N/A (cloud service) |
| Retrieval Speed | Local (sub-second) | Fast (cloud-optimized) |
| Embedding Model | all-MiniLM-L6-v2 / bge-large | Cloud-hosted |
Cells highlighted in green indicate the stronger option for that row. Data as of April 2026.
Architecture Comparison
MemPalace — The Memory Palace
MemPalace uses the Memory Palace metaphor: Wings, Rooms, Halls, Closets, and Drawers. Every conversation is stored verbatim, then organized spatially and compressed with AAAK (30x lossless compression).
The system runs a 4-layer retrieval stack(L0–L3): from fast keyword lookup to full semantic reranking. At startup, it wakes up with roughly 170 tokensof context — just enough to orient the AI without flooding the prompt window.
SuperMemory — Memory Graph + RAG
SuperMemory takes a graph-based approach to memory storage, building structured relationships between memories. It combines this memory graph with a RAG (Retrieval-Augmented Generation) pipeline for fast, structured retrieval.
The architecture is cloud-hosted, focusing on speed and structured memory relationships rather than verbatim storage. The RAG pipeline enables efficient retrieval across the memory graph, though the graph abstraction can lose nuanced context that verbatim storage preserves.
Key philosophical difference: MemPalace stores everything verbatim then makes it findable through spatial organization and multi-layer retrieval. SuperMemory builds a memory graph with structured relationships and uses a RAG pipeline to retrieve relevant context. The benchmark results suggest the “store everything” approach yields significantly higher recall — 96.6% vs 81.6% on LongMemEval — while the graph-based approach offers faster structured lookups at the cost of some accuracy.
Benchmark Deep Dive
LongMemEval (500 questions)
LongMemEval tests how well a memory system can answer questions across long conversation histories. It covers fact recall, temporal reasoning, multi-hop inference, and knowledge updates over time.
MemPalace
100%
Hybrid mode (with Haiku reranking)
96.6%
Raw mode (zero API cost)
SuperMemory
81.6%
Memory graph + RAG pipeline
Score Breakdown
The 15-point gap between MemPalace (96.6% raw) and SuperMemory (81.6%) on LongMemEval reflects a fundamental architectural trade-off. MemPalace's verbatim storage preserves every detail, ensuring high recall even on nuanced, multi-hop questions. SuperMemory's graph-based approach excels at structured lookups but can miss context that falls outside the graph's relationship model.
Methodology note: All benchmark numbers for MemPalace come from the project's published evaluation suite. SuperMemory's 81.6% score is based on publicly available reports. Conditions may not be perfectly identical — interpret the gap directionally rather than as an exact delta.
In head-to-head comparison, MemPalace outperforms SuperMemory by 15 percentage points on LongMemEval (96.6% vs 81.6% in raw mode, 100% vs 81.6% in hybrid mode). Both systems have published scores, making this one of the more directly comparable matchups in the AI memory space.
Pricing Analysis
MemPalace
$0/year
- ✓MIT license, unlimited use
- ✓All 19 MCP tools included
- ✓Local embedding (no API needed)
- ·Optional: ~$0.001/query for Haiku reranking
SuperMemory
Free tier available
- ·Free tier with usage limits
- ·Cloud-hosted (no self-hosting option)
- ·Pricing may scale with usage
- ·See supermemory.ai for current plans
Cost Comparison: Long-term Ownership
MemPalace is permanently freeunder MIT license — you own the software and your data with zero ongoing costs. SuperMemory offers a free tier, but as usage grows, cloud-hosted services typically introduce paid tiers. With MemPalace, there are no surprises: the only optional cost is sub-penny Haiku reranking at ~$0.001 per query.
- MemPalace:$0/year forever. ~$0.70/year if you opt into Haiku reranking.
- SuperMemory:Free tier available. Paid plans likely as usage scales beyond free limits.
When to Choose MemPalace
- 1
You want the highest benchmark scores
MemPalace leads with 96.6% on LongMemEval (raw) and 100% in hybrid mode versus SuperMemory's 81.6%. If accuracy is your top priority, the 15-point gap is decisive.
- 2
Privacy is paramount
Everything stays on your local machine. SQLite databases, ChromaDB vectors, AAAK-compressed archives — none of it leaves your filesystem. SuperMemory processes data in the cloud.
- 3
You don't want vendor lock-in
MIT license, standard formats, no cloud dependency. You own your data and your infrastructure forever. No risk of service changes or shutdown.
- 4
You use Claude Code or MCP clients
MemPalace was built for MCP-native workflows. Its 19 tools integrate directly with Claude Code, Claude Desktop, and any MCP client. SuperMemory does not offer the same MCP integration depth.
- 5
You need verbatim memory
MemPalace stores every conversation word-for-word. Graph-based systems like SuperMemory abstract memories into structured relationships, which can lose nuanced context.
When to Choose SuperMemory
- 1
You want structured memory relationships
SuperMemory's graph-based architecture excels at building and traversing structured relationships between memories. If your use case benefits from explicit connections between concepts, the memory graph approach has merit.
- 2
You prefer cloud-hosted convenience
No local infrastructure to manage. SuperMemory handles hosting, scaling, and maintenance. Just sign up and start using it — ideal if you don't want to run anything locally.
- 3
RAG pipeline is your preferred retrieval pattern
If your team is already invested in RAG-based architectures, SuperMemory's RAG pipeline will feel familiar. The retrieval pattern integrates naturally with existing RAG workflows.
- 4
You want to start with a free tier
SuperMemory offers a free tier to get started without commitment. You can evaluate the system before deciding whether to scale up — though MemPalace is permanently free.
- 5
Speed of structured lookups is critical
SuperMemory's graph-based retrieval is optimized for fast lookups across structured memory relationships. If your queries are well-structured and graph-traversal suits your access patterns, retrieval can be very fast.
Frequently Asked Questions
Is MemPalace really free?+
Yes. MemPalace is MIT-licensed and completely free to use with no restrictions. The only optional cost is approximately $0.001 per query if you enable Haiku reranking for enhanced accuracy. In raw mode, the system runs entirely on local resources at zero cost.
Can SuperMemory run locally like MemPalace?+
No. SuperMemory is a cloud-hosted service and does not offer a self-hosted or local deployment option. MemPalace is designed local-first from the ground up; every feature works without network access.
Which system has better benchmark scores?+
MemPalace leads on LongMemEval with 100% in hybrid mode and 96.6% in raw mode, compared to SuperMemory's 81.6%. The 15-point gap in raw mode reflects MemPalace's verbatim storage advantage over SuperMemory's graph-based RAG approach.
Does MemPalace work with Claude Code?+
Yes. MemPalace includes 19 MCP (Model Context Protocol) tools and integrates natively with Claude Code, Claude Desktop, and any MCP-compatible client. You can install it with a single pip command and start using memory tools immediately.
What happens to my data with each system?+
With MemPalace, everything is stored locally in SQLite and ChromaDB — your data never leaves your machine. With SuperMemory, your data is processed and stored in their cloud-hosted memory graph and RAG infrastructure.
How does SuperMemory's memory graph compare to MemPalace's architecture?+
SuperMemory builds a graph of structured relationships between memories and uses a RAG pipeline to retrieve relevant context. MemPalace uses a spatial Memory Palace hierarchy (Wings/Rooms/Halls/Closets/Drawers) with verbatim storage and a 4-layer retrieval stack (L0-L3). MemPalace preserves complete context while SuperMemory optimizes for structured relationship traversal.
Is MemPalace better than SuperMemory?+
For benchmark accuracy, privacy, and cost, yes — MemPalace scores 96.6% on LongMemEval versus SuperMemory's 81.6%, runs entirely locally, and is completely free under MIT license. However, SuperMemory has advantages in structured memory relationships and cloud-hosted convenience. The best choice depends on whether you prioritize accuracy and privacy (MemPalace) or structured graph-based retrieval in the cloud (SuperMemory).
What is the difference between MemPalace and SuperMemory?+
The fundamental difference is architectural: MemPalace stores all conversation data verbatim using a spatial Memory Palace hierarchy and retrieves via a 4-layer stack, while SuperMemory uses a memory graph combined with a RAG pipeline to structure and retrieve memories. MemPalace preserves full context at the cost of more local storage; SuperMemory focuses on structured relationships for faster graph-based retrieval but may lose nuanced details not captured in the graph model.
Ready to try MemPalace?
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Last updated: April 8, 2026. Data sourced from official documentation, published benchmarks, and public repositories.