fast-agent and golf
These two tools are complements, with **evalstate/fast-agent** focusing on the evaluation and model support for agents, while **golf-mcp/golf** provides the production-ready server framework and infrastructure needed to deploy and scale those agents.
About fast-agent
evalstate/fast-agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
This tool helps developers and AI practitioners quickly build, evaluate, and deploy AI agents that interact with large language models (LLMs). It takes your instructions and configurations, allowing you to create agents that can code, answer questions, or automate tasks. The output is a functional AI agent or workflow ready to be integrated into applications or used interactively.
About golf
golf-mcp/golf
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
This framework helps developers quickly build and deploy secure AI agent servers. You define the agent's capabilities—like specific tools, prompts, and data resources—as Python files. The framework then automatically compiles these into a robust, scalable server, ready to power AI agents. It's designed for software engineers building the backend infrastructure for AI-powered applications.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work