Rank #939 · on radar since 2026-07-03
context-graph-benchmark
A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.
Visit homepage ↗llmai-in-productionnetworkxai-memory+11
Momentum
42.2
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.438 |
| Signal decay | 0.995 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks5 latest · 2 snapshots
github · stars26 latest · 2 snapshots