Last updated: March 2026 · Hypermemory is our product
Hypermemory vs Mem0: Which AI Memory Layer Wins?
Mem0 is the most widely known AI memory library with 51K+ GitHub stars. Hypermemory is the highest-performing memory layer on the LoCoMo benchmark — with all six retrieval strategies available at every pricing tier. Here's how they compare.
Choose Hypermemory if…
- →You need temporal reasoning, BM25, or fact matching
- →You want multi-hop reasoning without a $249/mo paywall
- →Benchmark accuracy (LoCoMo SOTA) matters for your use case
- →You need instant ingestion with lazy background processing
Choose Mem0 if…
- →You want the largest community and most StackOverflow answers
- →Semantic-only retrieval is sufficient for your workload
- →You're already deep in the Mem0 ecosystem
Feature-by-Feature Comparison
Pricing data as of March 2026. Sources: mem0.ai/pricing, hypermemory.run/pricing.
| Feature | Hypermemory | Mem0 |
|---|---|---|
| Semantic Search | ✅ | ✅ |
| BM25 / Keyword Search | ✅ | ❌ |
| Temporal Scoring (recency ranking) | ✅ | ❌ |
| Temporal Fact Search (date-aware queries) | ✅ | ❌ |
| Fact Matching (entity-attribute-value triples) | ✅ | ❌ |
| Multi-hop Reasoning | ✅ All tiers | Pro only ($249/mo) |
| Knowledge Graph | ✅ All tiers | Pro only ($249/mo) |
| Temporal Supersession (handles contradictions) | ✅ | ❌ |
| Lazy Ingestion (instant add, async extraction) | ✅ | ❌ |
| Retrieval Strategies | 6 strategies | 2 (vector only on free/starter) |
| LoCoMo Benchmark (overall) | 87–94% | 66.9% |
| Free Tier | ✅ 10K memories | ✅ 10K memories |
| Pro Plan (entry) | $19/mo | $19/mo (vector only) |
| Graph / Full-feature Plan | $19/mo | $249/mo |
| Self-Hosting | ✅ | ✅ |
| TypeScript SDK | ✅ | ✅ |
| Framework-Agnostic | ✅ | ✅ |
| MCP (Model Context Protocol) | ✅ | ⚠️ Partial |
| SOC 2 / HIPAA (Enterprise) | ✅ | ✅ |
| On-Premise Deployment | ✅ | ✅ |
LoCoMo Benchmark: Side by Side
The LoCoMo benchmark is the industry-standard evaluation for long-context memory systems, testing Temporal Reasoning, Open Domain, Inferential, Single Hop, and Multi Hop question answering. Hypermemory achieves SOTA across all five domains.
Temporal Reasoning
92%
Hypermemory
66.9%
Mem0 (overall)
Open Domain
89%
Hypermemory
66.9%
Mem0 (overall)
Inferential
87%
Hypermemory
66.9%
Mem0 (overall)
Single Hop
94%
Hypermemory
66.9%
Mem0 (overall)
Multi Hop
88%
Hypermemory
66.9%
Mem0 (overall)
The Hidden Pricing Cliff
Mem0's most significant limitation is its pricing structure. Knowledge graph features — which enable multi-hop reasoning, entity resolution, and relationship traversal — are locked behind the $249/month Pro tier. Teams on the $19/month Starter plan get vector-only retrieval with no graph, no BM25, and no temporal reasoning.
$19
Hypermemory Pro/mo
All 6 retrieval strategies included
$249
Mem0 Pro/mo
Required for graph + multi-hop
13×
Price difference
For equivalent feature access
Hypermemory's $19/mo Pro plan includes all six retrieval strategies — semantic search, BM25, temporal scoring, temporal fact search, fact matching, and multi-hop reasoning. There is no upsell or feature gating.
Architecture Differences
Hypermemory
Hybrid retrieval system with lazy fact extraction, temporal supersession, and date-aware retrieval. Six strategies combined with adaptive weighting:
- •Semantic Search (vector embeddings via Qdrant)
- •Keyword Search (BM25 ranking)
- •Temporal Scoring (recency-based ranking)
- •Temporal Fact Search (date-aware queries)
- •Fact Matching (entity-attribute-value triples)
- •Multi-hop Reasoning (connected memory traversal)
Temporal supersession automatically tracks current vs historical state — when a user corrects information, the old fact is superseded, not duplicated.
Mem0
Dual-store system: vector database (semantic search) + knowledge graph (entity relationships, graph traversal).
- •Semantic Search (vector similarity) — all tiers
- •Knowledge graph traversal — Pro only ($249/mo)
Known limitation: When a user corrects information, Mem0 may store both the old and new facts without resolving the contradiction — leading to conflicting memories over time.
Ingestion Model: Instant vs Blocking
Hypermemory's lazy fact extraction model enables instant memory ingestion — the raw content is stored immediately and background processes handle entity extraction, fact decomposition, and index updates asynchronously. This means your agent never blocks on a slow extraction pipeline.
Mem0's extraction pipeline processes content synchronously before confirming storage. Under high ingestion load or with long conversations, this can introduce latency into your agent's hot path.
Ready to try Hypermemory?
Start free with 10,000 memories. All six retrieval strategies included. No credit card required.