Compare Memoria's 12.9 ms deterministic memory engine (500/500 LongMemEval) against Zep/Graphiti's async LLM extraction pipeline (451/500 · 90.2% at 104–162 ms).
| Criterion | Memoria | Zep / Graphiti |
|---|---|---|
| LongMemEval Accuracy (500 q) | 100.0% (500 / 500) | 90.2% (451 / 500) |
| Multilingual / Hebrew LongMemEval | 100.0% (102 / 102 · 98%+ enterprise bar · 15 languages) | LLM prompt dependent |
| Recall & Code Query Latency | <20ms (12.9 ms avg) | 104 ms p50 / 162 ms p95 + async LLM queue |
| LLM Token Cost per Write | 0 tokens ($0) | Async LLM entity/edge extraction per episode |
| Belief Revision on State Change | Automatic Supersedes revision | Bi-temporal window (t_invalid) |
| IDE & MCP Ecosystem | 15 AI clients auto-configured · 30 MCP tools | Graph search MCP / SDK |
| 1-Click Migration Importer | CLAUDE.md, .cursorrules, Mem0 JSON, ChatGPT & Claude | Custom script required |
| Pricing | $0 Free (1,000 calls) · $19 / $79 / $299 mo | $25–$499/mo credit tiers |
Choose Zep/Graphiti if you are building a custom Neo4j/FalkorDB graph pipeline and do not mind asynchronous LLM extraction delays before newly written facts become searchable.
Choose Memoria when newly encoded facts and corrections must be recallable immediately (<15 ms synchronous write, 12.9 ms recall) with zero LLM extraction cost and 100.0% accuracy on both English and Hebrew LongMemEval.
1. Create your free Memoria account (1,000 API calls & memories included).
2. Open Memory Explorer on /account and paste your Zep / Graphiti JSON export, CLAUDE.md, or .cursorrules.
3. Run the one-line installer below to connect all 15 AI coding clients:
curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash