Show HN: AgentBridge – translate and govern calls between AI agent protocols

Category: infrastructure

Tags: ai-agents, protocol-translation, governance, mesh, edge-computing

Score: 7.3/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 6)

AgentBridge is a Python-based, protocol-agnostic mesh that translates, routes, and governs calls between different AI agent protocols (MCP, A2A, ACP, OpenAI, Gemini, AGNTCY) with built-in identity, budgets, and a tamper-evident audit trail. It offers a unique combination of any-to-any protocol translation, inline governance, and framework integrations (LangChain, CrewAI, etc.), making heterogeneous agent interoperability practical. The project is early-stage but technically ambitious, with strong documentation and a working prototype.

Target audience: backend devs, ai-ml engineers, devops

Repository: https://github.com/shadowhunter-92/agentbridge · Python · Apache-2.0

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