Fastest setup + largest integration ecosystem; dual session/user scope.
- Storage
- Cloud, or OSS lib + your vector store + LLM
- Retrieval
- LLM-extracted memories stored in a vector store (optional graph tier) and recalled by semantic search.
- Self-host
- Self-host: moderate
- License
- Apache-2.0
- Pricing
- Free tier; paid from ~$19/mo; graph ~$249/mo · Freemium
- GitHub stars
- 59,620
- Last release
- 2026-06-27
- Last commit
- 2026-06-27
- First catalogued
- 2026-06-28
Strengths
- ~30s to wire up
- 21+ frameworks
- Generous free tier
Watch out
- Self-reported benchmarks far exceed neutral ones; graph tier is pricey
Best for
- Fastest drop-in memory with the biggest integration ecosystem
- Token-cost-sensitive production agents (single-pass extraction, sub-7k tokens/call)
- AWS Agent SDK users and SOC 2 / HIPAA workloads
Benchmark results
| Benchmark | Value | Backbone | Trust | Source |
|---|---|---|---|---|
| longmemeval | 94.4 accuracy | — | Self-reported | Mem0 ↗ |
| longmemeval | 49 accuracy | GPT-4o | Independent | Zep (competitor harness) ↗ |
| locomo | 92.5 accuracy | — | Self-reported | Mem0 ↗ |
| beam-1m | 64.1 accuracy | — | Self-reported | Mem0 ↗ |
| beam-10m | 48.6 accuracy | — | Self-reported | Mem0 ↗ |
| locomo | 66.88 accuracy | — | Independent | Hindsight/Vectorize (competitor re-run) ↗ |
| longmemeval | 62.6 accuracy | gpt-4o-mini | Independent | LiCoMemory (Huang et al., HKUST et al.) — competitor re-run ↗ |
| locomo | 54.68 accuracy | gpt-4o-mini | Independent | LiCoMemory (Huang et al., HKUST et al.) — competitor re-run ↗ |
Sources
- https://mem0.ai/ (vendor)
- https://github.com/mem0ai/mem0 (vendor)
- Mem0 — token-efficient memory algorithm; exclusive AWS Agent SDK integration; SOC 2 / HIPAA (vendor)
Last verified 2026-06-28 · updated by refresh-framework-cards