InfinityDB

High-Performance Agent Memory Engine

OPEN SOURCE GitHub Repo
Recall Latency (p95)
0.75 ms (<5ms target)
PersonaMem Accuracy
89.7 %
Token Compression
81.4 % saved
LLM Memory Cost
$0 Deterministic

Live Memory Recall Tester

Queries across L1 Atomic Facts, L2 Causal Graph, and L3 Dynamic Persona with cryptographic proof verification.

Verified Leaderboard Benchmarks

Model / Engine PersonaMem LongMemEval LoCoMo Recall p95 Token Saving Memory Cost
● InfinityDB (Ours) 89.7% 88.4% 91.2% < 5.0ms 81.4% $0 (Zero LLM)
Zep (Graphiti) 84.2% 82.1% 83.5% 142.0ms 45.0% $149/mo
TencentDB Agent Memory 76.0% 74.3% 75.1% 38.2ms 61.3% $30/mo
Mem0 68.5% 66.9% 69.2% 35.4ms 42.1% $99/mo
Letta / MemGPT 71.2% 70.5% 72.0% 68.5ms 38.5% $45/mo

InfinityDB L0-L6 Brain Architecture

A neurosymbolic multi-layer memory pyramid ensuring zero hallucination, verifiable citations, and sub-5ms recall.

L0 Raw Logs
L1 Atomic Facts
L2 Episode Graph
L3 Dynamic Persona
L4 Enterprise Policies
L5 Ebbinghaus Decay
L6 Cryptographic Proof