Compresr

- Dedicated compression vendors versus DIY: Compresr competes against internal approaches (summarization, reranking, deduplication, structured tool outputs). An internal implementation can be preferable in sensitive domains but requires engineering investment. - Research-derived competitors: Techniques like those from LLMLingua demonstrate promising results in research contexts, but operationalizing them (monitoring, drift handling, cost control) is non-trivial. - Agent middleware angle: Compresr is presented as compatible with agent tooling and as an optimization layer for gateways and proxies, which positions it against agent gateways that include optimization features.