OmniMesh is an enterprise policy & optimization gateway for multi-vendor AI agent networks (MCP/A2A). Operating inline as a secure network proxy, it enforces data sovereignty and cost guardrails. Features include zero-trust identity registries, real-time semantic compaction that slashes external LLM token bills by 40%, and an append-only 7-year compliance ledger for tamper-proof audit trails. Designed to make autonomous agent orchestration safe, compliant, and cost-effective.
Hey Product Hunt! 👋
I’m the creator behind OmniMesh. Over the past few months, I’ve watched incredible engineering progress on autonomous agent protocols, but I noticed a major enterprise barrier: security officers are terrified of PII data leaks, and finance teams are terrified of runaway token costs from conversational loops.
As a Product Leader, I didn't want to build just another AI app—I wanted to map the necessary network plumbing to make agentic communication enterprise-ready.
We've put together an Interactive Operational Sandbox to visually simulate this inline gateway layer. I’m currently sharing access credentials with cloud architects and infrastructure teams to refine our design parameters.
If you are mapping out agent compliance or token management, I'd love your thoughts: What security or cost bottlenecks are you anticipating as your teams begin connecting agents across vendor boundaries?"
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