Logica Mind — open-source agent memory
Collection
Memory that thinks like a brain. Live dashboard, interactive playground, and the LoCoMo benchmark where it beats Mem0 and Zep. • 3 items • Updated
system stringlengths 3 29 | locomo_j float64 48.4 74 | llm_at_write_time stringclasses 4
values | source stringclasses 3
values |
|---|---|---|---|
Letta (filesystem agent) | 74 | agent-managed | Letta blog |
Full-context baseline | 72.9 | none | Mem0 paper |
Logica Mind — full pipeline | 72.5 | 1 call per session | this work |
Mem0g (graph) | 68.4 | every write | Mem0 paper |
Logica Mind — zero-LLM writes | 67.3 | none | this work |
Mem0 | 66.9 | every write | Mem0 paper |
Zep | 66 | every write | Mem0 paper |
Best RAG baseline | 61 | none | Mem0 paper |
Logica Mind — keyless (onnx) | 60.9 | none | this work |
LangMem | 58.1 | every write | Mem0 paper |
OpenAI Memory | 52.9 | every write | Mem0 paper |
A-Mem | 48.4 | every write | Mem0 paper |
Reproducible accuracy results for Logica Mind (open-source agent memory) on LoCoMo, alongside published numbers for other memory systems — all under the same protocol as the Mem0 paper (arXiv:2504.19413): gpt-4o-mini as both answerer and judge, adversarial category excluded, 1,540 scored questions.
results.csv)
| System | LoCoMo J | LLM at write time | Source |
|---|---|---|---|
| Letta (filesystem agent) | 74.0% | agent-managed | Letta blog |
| Full-context baseline (no memory system) | 72.9% | — | Mem0 paper |
| Logica Mind — full pipeline | 72.5% | 1 call per session (~35× fewer) | this work |
| Mem0ᵍ (graph) | 68.4% | every write | Mem0 paper |
| Logica Mind — zero-LLM writes | 67.3% | none | this work |
| Mem0 | 66.9% | every write | Mem0 paper |
| Zep | 66.0% | every write | Mem0 paper |
| Best RAG baseline | 61.0% | none | Mem0 paper |
| Logica Mind — keyless (onnx) | 60.9% | none | this work |
| LangMem | 58.1% | every write | Mem0 paper |
| OpenAI Memory | 52.9% | every write | Mem0 paper |
| A-Mem | 48.4% | every write | Mem0 paper |
Logica Mind's full pipeline is the best-scoring memory system in the published protocol. Full methodology, per-category breakdown, the published negative result, and one-command reproduction: BENCHMARKS.md.
| Category | Logica Mind | Mem0 (published) |
|---|---|---|
| single-hop | 83.5% | 67.1% |
| temporal | 70.7% | 55.5% |
| multi-hop | 53.2% | 51.2% |
| open-domain | 37.0% | 72.9% |
pip install logica-mind
OPENAI_API_KEY=… python bench/locomo_judge.py --embedder openai --ingest supplement --k 20 --radius 3
Every competing number links to its primary source; nothing is estimated. Where sources conflict (the public Mem0×Zep dispute), both sides are shown in BENCHMARKS.md.