Fast Agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
At a glance.
A compact read before the deeper capability notes and official setup links.
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Please see for latest documentation.
fast-agent is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform.
To start coding with Hugging Face inference providers or use your OpenAI Codex plan:
Manage skills with the /skills command, and connect to MCP Servers with /connect.
The default fast-agent registry contains skills to let you set up LSP, Agent and Tool Hooks, Compaction strategies, Automation and more.
fast-agent enables you to create and interact with sophisticated multimodal Agents and Workflows in minutes.
It is the first framework with complete, end-to-end tested MCP Feature support including Sampling and Elicitations.
The simple declarative syntax lets you concentrate on composing your Prompts and MCP Servers to build effective agents.
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-19T23:53:04Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.