Last updated: March 2026 · Hypermemory is our product and ranked #1
5 Best Mem0 Alternatives in 2026 (Free & Paid)
Mem0 is the most popular AI memory library with 51K+ GitHub stars and YC backing — but it locks knowledge graph features (multi-hop reasoning, entity resolution) behind a $249/month Pro tier. If you need production-grade retrieval without that paywall, here are the top five alternatives.
Why teams look for Mem0 alternatives
- •Knowledge graph requires $249/mo — most teams need graph for multi-hop reasoning
- •No BM25/keyword search — semantic-only retrieval misses exact-match facts
- •No temporal scoring — cannot rank by recency or answer 'how has X changed?'
- •Contradictory memory problem — old and new facts can coexist without resolution
- •No temporal supersession — corrected information may not replace the original
Quick Comparison
| Product | Free Tier | Paid From | Graph Features | LoCoMo | Maintained |
|---|---|---|---|---|---|
| 1. HypermemoryOur pick | 10,000 memories | $19/mo (all features) | ✅ All tiers | 87–94% | ✅ Active |
| 2. Zep | 1,000 credits | $25/mo Flex | ✅ Included | ~85% | ✅ Active |
| 3. Cognee | Full open-source (self-hosted) | $35/mo Developer (hosted) | ✅ Open source | Not published | ✅ Active |
| 4. LangMem | Fully free (MIT, self-hosted) | Free (you pay infra costs) | ❌ | Not published | ⚠️ Stalled |
| 5. Memoripy | Fully free (Apache 2.0, self-hosted) | Free (no commercial offering) | ❌ | Not published | ⚠️ Stalled |
| Mem0 (reference) | 10K memories | $19/mo (vector only) | $249/mo Pro only | 66.9% | ✅ Active |
In-Depth Reviews
Hypermemory
Best Overall — SOTA Benchmarks, All Features at Every Tier
GitHub Stars
5,200+
Best For
Production AI agents requiring accurate, multi-strategy memory retrieval
Free Tier
10,000 memories
Paid From
$19/mo (all features)
Retrieval Strategies
Pros
- +SOTA on LoCoMo benchmark — 87–94% across all 5 domains
- +Six retrieval strategies (semantic, BM25, temporal, fact search, fact matching, multi-hop)
- +All features at every pricing tier — no $249/mo paywall
- +Lazy ingestion: instant storage, async background extraction
- +Temporal supersession: handles contradictory facts automatically
- +Framework-agnostic: Python, TypeScript, Go SDKs + REST API + MCP
Cons
- −Smaller community than Mem0 (5K vs 51K stars)
- −Fewer pre-built integrations in third-party tooling
Zep
Best for CRM Agents & Deep Relationship Graphs
GitHub Stars
24,200 (Graphiti)
Best For
Enterprise agents with complex entity relationships and compliance requirements
Free Tier
1,000 credits
Paid From
$25/mo Flex
Retrieval Strategies
Pros
- +Temporal knowledge graph via open-source Graphiti engine
- +SOC 2 Type II and HIPAA BAA on enterprise tier
- +BYOC: deploy into your own AWS VPC
- +Strong entity resolution and relationship lineage tracking
Cons
- −Community edition deprecated — self-hosting now requires 3+ systems
- −Post-ingestion retrieval delayed by hours (background graph processing)
- −Unpredictable credit costs for high-volume agentic workloads
- −1,000 credit free tier insufficient for real prototyping
- −LoCoMo ~85% vs Hypermemory's 87–94%
Cognee
Best Open-Source Option for Knowledge-Intensive Pipelines
GitHub Stars
14,700
Best For
Data/ML engineers building batch-ingestion knowledge bases with multimodal data
Free Tier
Full open-source (self-hosted)
Paid From
$35/mo Developer (hosted)
Retrieval Strategies
Pros
- +14 search modes (most flexible retrieval of any open-source option)
- +Multimodal ingestion: documents, images, audio, Slack, Notion, 30+ sources
- +Knowledge graph included at every tier (no paywall)
- +Apache 2.0 license — fully open source
Cons
- −Python-only SDK (no TypeScript or Go)
- −Batch-ingestion oriented — not optimized for real-time agent interactions
- −3-store architecture (graph + vector + relational) adds setup complexity
- −No published LoCoMo/LongMemEval benchmark scores
- −Smaller community than Mem0 or Zep
LangMem
Development stalledBest for LangGraph-Only Prototypes
GitHub Stars
1,400
Best For
Developers already using LangGraph who need zero-config basic memory
Free Tier
Fully free (MIT, self-hosted)
Paid From
Free (you pay infra costs)
Retrieval Strategies
Pros
- +Zero cost (MIT license, no managed service)
- +Native LangGraph integration — no additional setup
- +Simple two-tool API: manage and search
Cons
- −LangGraph lock-in — cannot use with other frameworks
- −p95 retrieval latency: 59.82 seconds — unusable for interactive agents
- −Development stalled since January 2025
- −Python-only (no TypeScript, Go, or JavaScript SDK)
- −No graph, no BM25, no temporal reasoning, no multi-hop
- −No managed cloud — you provision all infrastructure
Memoripy
Development stalledBest for Local/Hobbyist Experiments
GitHub Stars
684
Best For
Local prototyping with Ollama models, non-production use
Free Tier
Fully free (Apache 2.0, self-hosted)
Paid From
Free (no commercial offering)
Retrieval Strategies
Pros
- +Works with local Ollama models (fully offline)
- +Concept graph spreading activation for novel retrieval patterns
- +Memory decay/reinforcement dynamics
- +Zero cost
Cons
- −Last commit November 2024 — effectively unmaintained
- −27 total commits, 6 contributors — research/hobby quality
- −No temporal reasoning, multi-hop, BM25, or fact extraction
- −No managed service, no enterprise features
- −No TypeScript/JavaScript SDK
- −684 GitHub stars — minimal community or support
How to Choose
Need the highest benchmark accuracy?
Hypermemory — SOTA on LoCoMo across all 5 domains (87–94%).
Building CRM agents with complex relationship graphs?
Zep — temporal knowledge graph with strong entity lineage tracking.
Python-only, batch knowledge base ingestion?
Cognee — 14 search modes, multimodal, fully open source.
LangGraph prototype, zero budget?
LangMem — free MIT library, but note the 60s latency and lack of maintenance.
Local experiments with Ollama models?
Memoripy — offline-capable but unmaintained. Not for production.
Try the #1 Mem0 Alternative
Hypermemory: SOTA LoCoMo scores, six retrieval strategies, no feature paywalls. Free tier includes 10,000 memories. No credit card required.