by evalstate · MCP Server · ★ 3.8k
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Overview [!TIP] Please see : https://fast-agent.ai for latest documentation. There is also an LLMs.txt here 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. is CLI-first, with an optional prompttoolkit-powered interactive terminal prompt (TUI-style input, completions, and in-terminal menus); responses can stream live to the terminal via rich without relying on full-screen curses UIs or external GUI overlays. <!--  through real-world, cr
Multi-Agent Harness for Production AI
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | ev
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fast-agent is Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support. It is categorized as a MCP Server with 3.8k GitHub stars.
fast-agent is primarily written in Python. It covers topics such as acp, agent, agent-framework.
You can find installation instructions and usage details in the fast-agent GitHub repository at github.com/evalstate/fast-agent. The project has 3.8k stars and 404 forks, indicating an active community.
fast-agent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to fast-agent on Agent Skills Hub include archestra, pydantic-deepagents, mcp-for-beginners. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.