Scroll reframes agent context as code
Alibaba’s Scroll treats each long-running agent session as an executable environment backed by an append-only event log and persistent Python kernel. Agents write code to query typed state while only selected projections enter the working context.
This is a stronger abstraction than another fixed memory schema: recall becomes open-ended computation over lossless history, though production use will depend on safe sandboxing and reliable state management.
- –Preserves ground-truth history instead of committing early to lossy summaries
- –Uses typed variables to keep tool outputs and derived state out of repeated prompts
- –Evicts stale context while retaining direct links back to exact historical events
- –Reports 94.8% on LongMemEval_S and 73.1% on BEAM_10M with Qwen3.8-Max
- –Signals a shift toward programmable agent harnesses rather than static retrieval pipelines
DISCOVERED
1d ago
2026-08-25
PUBLISHED
1d ago
2026-08-25
RELEVANCE
AUTHOR
omarsar0