Long-running research crews
Multi-step research and synthesis agents
For: Teams building autonomous research, analyst, or report-writing crews
Research crews accumulate large memory stores as they browse, summarize, and cross-reference. The dominant cost becomes memory retrieval, which degrades under CrewAI's default LIKE scans.
The problem
- →Memory search latency grows with every stored finding
- →Frequent JSON serialization between planning and synthesis agents
- →The same lookup tool called repeatedly across sub-tasks
How Fast-CrewAI helps
FTS5 memory search
11.2× faster retrieval that stays fast as the research corpus grows.
serde serialization
34.5× faster message passing between agents in the crew.
Tool result caching
17.3× faster on repeated tool calls common in iterative research.
Best for: Crews that run for minutes to hours and lean heavily on accumulated memory.
Ready to make CrewAI faster?
Talk to the team that wrote the acceleration layer. We take on performance audits, full system builds, and retained engineering.