Lore Context
All your AI agents.One shared memory.
Hosted beta memory for Claude Code, Codex, Cursor, and OpenCode — with browser capture clearly labeled beta, plus developer docs, REST API, MCP examples, pricing, and source-backed receipts.
LongMemEval-S Retrieval
500 questions. Utilizes the same session hit protocol.
Lore context is measured based on the publicly available LongMemEval-S benchmark.
01 / Who we are
A memory company for AI agents.













02 / What we provide
One service: shared memory for your AI agents.
Temporal graph
Release memory graph
A living graph links raw agent sessions, durable facts, entities, and recall paths with source-backed time windows.
03 / Service quality
Quality means the memory can explain itself.
Lore keeps origin, time, confidence, and control close to every remembered fact.
Memory receipt
Why this answer?
04 / Competitive field
Lore Context vs the field.
Methodology-first comparison using public benchmark notes and each project's own docs. Lore does not claim a production SLA or benchmark win from offline adapter numbers.
lore context LongMemEval-S
- Recall
- 96.6% @5, 98.8% @10.
- Rank
- MRR 91.5%, NDCG@10 90.1%.
- P95
- 23ms, offline adapter.
agentmemory BM25 + Vector
- Recall
- 95.2% @5, 98.6% @10.
- Rank
- MRR 88.2%, NDCG@10 87.9%.
- P95
- not published.
MemPalace LongMemEval
- Recall
- 98.4% @5, 99.8% @10.
- Rank
- NDCG@10 93.8%; MRR not published.
- P95
- not published.
mem0 LongMemEval QA
- Recall
- 81.4% @5 from AgentMemory field comparison.
- Rank
- Recall@10, MRR, and NDCG not published there.
- P95
- not published.
zep LongMemEval QA
- Dataset
- 71.2% overall.
- Retrieval
- Recall@K, MRR, and NDCG not published.
- Latency
- 2.58s reported, not p95.
memobase LoCoMo
- Dataset
- 75.78% LLM judge.
- Retrieval
- Recall@K, MRR, NDCG, and p95 not published.
supermemory LongMemEval
- Dataset
- 85.2% overall.
- Retrieval
- Recall@K, MRR, and NDCG not published.
- P95
- <300ms claimed.
letta Letta Evals
- Recall
- 73.8% @5 from AgentMemory field comparison.
- Rank
- Recall@10, MRR, NDCG, and p95 not published there.
cognee HotPotQA
- Recall
- 78.1% @5 from AgentMemory field comparison.
- Rank
- Recall@10, MRR, NDCG, and p95 not published there.
Benchmark methodology: Lore Context / agentmemory = LongMemEval-S retrieval-only recall_any@K; MemPalace = LongMemEval retrieval recall; mem0 / Letta / cognee R@5 = AgentMemory public field comparison on LongMemEval-S; Zep = LongMemEval QA plus reported latency; memobase = LoCoMo LLM judge; supermemory = LongMemEval overall score from public site copy. Offline adapter latency is not a hosted production SLA.
05 / Pricing
Simple, transparent pricing.
Start
Daily API
Heavy recall
Power user
$5 / extra 10K add memoriesAdd memories means new memories written to your cloud vault.$5 / extra 10K retrieve memoriesRetrieve memories means searches that return context to an agent.