KI-Gateway in Go haelt autonome Coding-Agenten bei Sub-Millisekunden-Latenz
Autonome Coding-Agenten wie Claude Code oder Cursor feuern dutzende LLM-Aufrufe pro Minute ab. Herkoemmliche Python-Proxies verursachen dabei hohe Latenzen und Speicherprobleme, ein Go-Gateway loest das.
When building workflows with autonomous coding agents (like Claude Code, Cursor, or OpenCode), agent execution loops issue dozens of rapid LLM calls per minute. Standard Python-based proxies introduce 40ms–100ms of latency per hop, balloon to hundreds of megabytes in memory, and easily choke during parallel agent streaming.
To solve this, I built GoRoute ( https://github.com/ziuus/goroute ) — an ultra-lightweight, high-throughput AI gateway and dynamic LLM router written in Go.
go install github.com/ziuus/goroute@latest goroute --port 8080 --config config.yaml Enter fullscreen mode Exit fullscreen mode Or via Docker:
docker run -p 8080:8080 -v $( pwd ) /config.yaml:/app/config.yaml ghcr.io/ziuus/goroute:latest Enter fullscreen mode Exit fullscreen mode Point your agent or SDK to http://localhost:8080/v1 and you are ready.
GoRoute is 100% open source under the MIT License.
Feedback, issue reports, and benchmarks are warmly welcomed! If you are building agentic tools or multi-model pipelines, give it a try.h