The memory layer for AI agents

The world'sfastest memoryfor AI.

<5 ms recall · 0 LLM calls · 1 binary
live in two callsmeasured p50
01The asset
0

LLM calls.
Ever.

Every other memory product pipes your data through a language model and bills you for it — on write, and again on read. LongMemory is pure math. Nothing to prompt. Nothing to leak.

→ $0 inference→ No LLM provider keys→ Runs on your infra
02The receipts

Up to 214×
faster.

Same benchmark. Their numbers. Our stopwatch.

LONGMEMORY2.8 ms
MEM0148 ms53× SLOWER
MEM0 GRAPH476 ms170× SLOWER
ZEP513 ms183× SLOWER

Search latency, p50 · Their numbers: self-reported, mem0 paper (arXiv:2504.19413) · Ours: measured end-to-end over HTTP on the same public benchmark corpus (LoCoMo) · At p95 the gap peaks at 214× vs Zep

0.00ms
write · p50
0.0ms
recall · p50
0/s
sustained writes · 1 thread
03Accuracy, without the LLM

79% judged
on LoCoMo.

Raw transcripts in, zero extraction — then Claude Sonnet 5 graded whether the retrieved context answered the question. Same LLM-as-judge method the systems below report, run against memory that never called a model. We publish the script; run it yourself.

79
LONGMEMORY
0 LLM calls
66.9
MEM0
LLM-judged*
66.0
ZEP
LLM-judged*
52.9
OPENAI MEM
LLM-judged*

* Self-reported across the full benchmark in the mem0 paper (arXiv:2504.19413), each using its own judge. Ours is LoCoMo story 1 (149 questions) graded by Claude Sonnet 5; zero-LLM retrieval alone scores 71% recall@10 across all 1,531.

04Integration

Two calls.
That's the API.

live in two callsmeasured p50
PLUG & PLAYPOST text in, search ranked memories out. No schema, no vector DB, no duplicates.
CLAUDE-NATIVEDrop-in backend for Anthropic’s memory tool — Claude’s memory becomes durable and multi-user.
TEMPORAL ENGINE“No sugar this month” expires itself. New facts supersede old ones. Full audit trail.
PERSON-SCOPEDMemory about you, your wife, your boss — resolved, merged, and recalled per person.

Give your agent
a memory.

Docs

Free while in beta · Hyderabad, India