I built AI-Token-Saver-Gateway after running into a simple problem: multi-agent systems often pass long, noisy messages between agents, even when the next agent only needs a few decision-critical facts.
The gateway compresses verbose agent-to-agent messages into compact, structured JSON so workflows can reduce token usage, lower LLM costs, and keep context cleaner.
It is open source and still early. I would love feedback from people building AI agents, LLM pipelines, or developer tools.
What would make this more useful for your workflow?
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