Other memory systems work with specific tools. REM works with everything. Honest comparison.
LongMemEval (ICLR 2025). 500 questions, 6 categories.
| System | Score | Questions tested | Model | Architecture |
|---|---|---|---|---|
| AgentMemory | 96.2% | 500 (full) | GPT-4.1 | Hybrid retrieval (no product) |
| REM Labs | 97.2% | 500 (full) | GPT-4o | Proprietary ensemble + reranking |
| OMEGA | 95.4% | 500 (full) | GPT-4.1 | SQLite + bge-small + full-text |
| Mastra OM | 94.9% | 500 (full) | GPT-5-mini | Observational (no retrieval) |
| Supermemory | 81.6% | 500 (full) | GPT-4o | Atomized memory units |
| Zep / Graphiti | 71.2% | 500 (full) | GPT-4o | Temporal knowledge graph |
| ChatGPT Memory | 57.7% | 500 (full) | GPT-4o | Native memory feature |
| Mem0 | ~66.9% | 500 (full) | GPT-4o | Flat vector storage |
All scores on this page are from the full 500-question LongMemEval benchmark (ICLR 2025) using GPT-4o as judge unless noted otherwise. Our 97.2% (486/500) is independently reproducible. Full methodology.
Different architectures, different tradeoffs.
| Feature | REM Labs | Mem0 | Zep | OMEGA | Supermemory | Mastra |
|---|---|---|---|---|---|---|
|
Search modes
Number of distinct retrieval strategies
|
8 modes | 2 | 2 | 3 | 2 | 0 (stores all) |
|
Memory Synthesis
Processes and consolidates memories via API
|
Multi-stage synthesis pipeline | None | None | Basic evolution | None | Observer/Reflector |
|
Consumer app
Usable by non-developers
|
Full web app | API only | API only | CLI only | Nova app | Framework |
|
Scheduled Synthesis
Automated consolidation runs via API
|
Daily | None | None | None | None | None |
|
Knowledge graph
Entity extraction and relationship mapping
|
Included | $249/mo | Graphiti (core) | Typed edges | Relational | None |
|
Temporal reasoning
Time-aware queries and fact versioning
|
valid_from/until | None | Validity windows | Decay + TTL | Dual timestamps | 3-date model |
|
Import from ChatGPT/Claude
Bring your existing conversation history
|
One-click | None | None | None | Chrome ext | None |
|
MCP server
Works with Claude, Cursor, and MCP hosts
|
Native | OpenMemory | None | 12 tools | Yes | None |
|
Self-hostable
Run on your own infrastructure
|
SQLite, no deps | OSS / Enterprise | Enterprise VPC | Fully local | Open source | Open source |
|
Open source
Core codebase publicly available
|
Benchmark only | Apache 2.0 | Graphiti: MIT | Apache 2.0 | Open source | Open source |
|
SDK languages
Official client libraries
|
Node/TS, CLI | Python, TS | Python, TS | MCP only | Python, TS | TS (native) |
|
Total integrations
AI assistants, frameworks, tools, productivity
|
40+ | 21+ | 5-6 | Claude Code | 10+ | Native framework |
|
SOC 2 / HIPAA
Enterprise compliance certifications
|
Not yet | Both | Both | None | None | None |
|
Memory decay / lifecycle
Automatic importance scoring and forgetting
|
Full lifecycle | None | Validity windows | TTL + decay | None | Compression |
|
Team / org memory
Shared memory across team members
|
Built in | None | Projects | None | Projects | None |
Free tier included. Pro from $29/month. No per-query fees. Same accuracy, lower cost.
Sign up free. Start building with persistent memory today.
REM Labs is the leading Mem0 alternative for teams that need production-grade AI agent memory with verified accuracy.