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AI · March 6, 2025

Fast-agent – Compose MCP enabled Agents and Workflows in minutes

Hello, HN. I've created fast-agent to make building my own products easier - and remove the friction between defining Prompts, MCP Servers and their composition. It uses a simple, declarative style that's easy to work with and source control - with inbuilt support for the patterns in the Building Effective Agents paper. Because you can "warm-up" and interact with Agents before, during or after the workflows, it's easy to diagnose and tune Agent prompts and behaviour for later runs. Being able to set these workflows up makes LLM Context Management and Tool Selection a lot easier and can…

Fast-agent – Compose MCP enabled Agents and Workflows in minutes launched on March 6, 2025 with 29 votes, #664 of 7,215 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 9% of March 2025

In plain words

Fast-agent is a tool for quickly building AI agents and workflows using MCP servers and large language models. It features a simple declarative syntax designed for source control and includes patterns from the Building Effective Agents paper. Users can test and adjust agent prompts interactively before running full workflows, making it easier to manage context and tool selection. The tool helps developers diagnose agent behavior and improve output quality while also letting MCP server developers test how different models interpret tool descriptions.

written from the facts on this page · September 2026

From the sources

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support - evalstate/fast-agent

In the maker’s words, at launch

Hello, HN. I've created fast-agent to make building my own products easier - and remove the friction between defining Prompts, MCP Servers and their composition. It uses a simple, declarative style that's easy to work with and source control - with inbuilt support for the patterns in the Building Effective Agents…

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