BENCHMARK
State-of-the-art results on real memory benchmarks
Best in the world on real benchmarks — LoCoMo: 90.1% · LongMemEval: 93.4%. Benchmarks focused on long‑horizon, realistic memory tasks—not toy examples.
Production‑grade memory, not a hack around context windows
What is Backboard memory?
Backboard memory lets your apps remember people, projects, and decisions over time—across channels, devices, and models. Instead of stuffing entire histories into every LLM call, you:
MEMORY
Why engineers use Backboard for memory
From benchmark-leading recall to portable, integrated AI infrastructure — everything you need in one stateful API.
Integrated with routing, RAG, and web search
Memory is one tool in the orchestration layer: combine it with state, RAG, and web search in a single call instead of wiring multiple systems.
USE CASES
Memory patterns you can implement
Common memory architectures teams build on Backboard — from personalized copilots to org-wide knowledge.
Personalized copilots
Remember user preferences, style, and past work so AI feels 'tuned' to each person in every app.
Project‑centric memory
Persist context across long‑running workstreams (docs, tickets, PRs) without re-uploading.
Org‑wide knowledge
Store recurring decisions, policies, and domain facts as memory instead of re‑deriving them.
Cross‑app continuity
Share memory across chat, internal tools, agents, and IDEs through the same stateful API.