No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by evalstate · MCP Server · ★ 3.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fast-agent safe to install? View the security audit →
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.
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fast-agent is Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support. It is categorized as a MCP Server with 3.9k GitHub stars.
fast-agent is primarily written in Python. It covers topics such as a2a, acp, agent.
You can find installation instructions and usage details in the fast-agent GitHub repository at github.com/evalstate/fast-agent. The project has 3.9k stars and 443 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, AgentChat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: