TokenJuice, an open-source token compression engine from OpenClaw.NET, addresses the growing problem of LLM context bloat in agent systems. It achieves 50-95% compression in under 5ms using static rules and pipeline processing, without additional LLM calls. The engine features a fail-open design, three-layer rule configuration, and NativeAOT compatibility, ensuring reliability and performance in production environments. This approach is particularly valuable for multi-agent systems and long-running tasks where context windows quickly fill up. TokenJuice's design philosophy emphasizes determinism and minimal external dependencies, making it a practical tool for developers looking to optimize LLM usage costs and response times. The project is available on GitHub and supports integration with popular LLM frameworks.
TokenJuice is a new open-source token compression engine that reduces LLM context size by 50-95% in under 5ms without extra LLM calls. Its fail-open design, static rules, and NativeAOT compatibility make it production-ready for agent systems struggling with context bloat.