Context that persists across sessions, users, and workflows. No repeated setup.
Memory that follows the work.
Backboard stores useful context at the right level — users, teams, projects, workflows — and retrieves it when a new task needs it. No full histories stuffed into every prompt.
Memory
Performance
Long-context memory evaluation
Long-term conversational memory
Multi-session recall
Benchmark-proven recall.
State-of-the-art on LoCoMo and LongMemEval. Independently verified.
/01
Model Routing
Automatically select the right model for each request based on task complexity, latency requirements, and cost targets.
/02
Context Engine
1.1M token context window loads your full codebase, docs, and history. The API sees everything — no chunking or manual embedding required.
/03
Routing State
When a new request comes in, Backboard finds the memories most relevant to the current task.
/04
Continue the work
The model receives the right memory, returns a grounded response, and updates the state for what comes next.
Connect your repo, docs, and tickets in one workflow.