LightAgent — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

Flagged: environment access. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by wanxingai · MCP Server · ★ 1.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is LightAgent safe to install? View the security audit →

About LightAgent

<a href="https://pypi.org/project/lightagent/"

agent-frameworkagent-hooksagentsai-agentlifecycle-hooksllmmcpmulti-agentopenaiopenai-api

Quick Facts

Stars1,218
Forks173
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score63.6269155027363/100
Open Issues4
Last Updated2026-09-14
Created2025-01-20
Platformsmcp, python
Est. Tokens~24k

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Frequently Asked Questions

What is LightAgent?

LightAgent is LightAgent: Lightweight Python framework for OpenAI-compatible agents with tools, memory, guardrails, tracing, lifecycle hooks, multi-agent collaboration, and workflows.. It is categorized as a MCP Server with 1.2k GitHub stars.

What programming language is LightAgent written in?

LightAgent is primarily written in Python. It covers topics such as agent-framework, agent-hooks, agents.

How do I install or use LightAgent?

You can find installation instructions and usage details in the LightAgent GitHub repository at github.com/wanxingai/LightAgent. The project has 1.2k stars and 173 forks, indicating an active community.

What license does LightAgent use?

LightAgent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to LightAgent?

The top alternatives to LightAgent on Agent Skills Hub include antigravity-workspace-template, sre, sdk-python. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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