Show HN: RunAgent: Model Context Protocol (MCP) and Vercel but for AI Agents
Hacker News - AI
Jul 18, 2025 22:34
adewba
1 views
hackernewsaidiscussion
Summary
RunAgent is an open-source platform that streamlines AI agent deployment by allowing developers to write agents once in Python and access them natively from multiple programming languages via comprehensive SDKs. It simplifies deployment with a framework-agnostic entrypoint and single-command setup, addressing language barriers and fragmentation in current AI frameworks. This approach could accelerate cross-language AI integration and foster a more unified AI development ecosystem.
RunAgent is a universal AI agent deployment platform that solves the language barrier and deployment complexity in AI development. While most AI frameworks like LangChain, LangGraph, CrewAI, Letta etc only provide Python SDKs and have fragmented deployment processes, RunAgent allows developers to write agents once in Python using any framework and access them natively from Rust, JavaScript, Go, or any other language through comprehensive SDKs. The platform works through a framework-agnostic entrypoint system where developers simply provide a config file and their agent code, then deploy with a single terminal command to get an agent ID and endpoint. The magic happens in the SDKs - developers can call these deployed agents like native functions in their preferred programming language, with full support for both synchronous and streaming responses. RunAgent is open-sourced to foster ecosystem growth similar to MCP's success. By standardizing the Python agent structure through simple conf