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 AmeNetwork · MCP Server · ★ 472
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aser safe to install? View the security audit →
Aser Aser is a minimalist, modular, and versatile AI agent framework. You can assemble an agent with just a few lines of code. Twitter 中文 Installation Install from pypi: Or clone the repository: Set up environment variables Please refer to file, and create a file with your own settings. You don't need to configure all environment variables, just select the ones you use. .env file example: Usage Get Started If you clone the project source code, before running the examples, please run in the root directory, which allows Python to find and import the aser module from the local source code. If you install it via
| Stars | 472 |
| Forks | 33 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.9386906866618/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-21 |
| Created | 2025-02-25 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~123k |
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aser is Aser is a lightweight, self-assembling AI Agent frame.. It is categorized as a MCP Server with 472 GitHub stars.
aser is primarily written in Python. It covers topics such as a2a-protocol, agent, agents.
You can find installation instructions and usage details in the aser GitHub repository at github.com/AmeNetwork/aser. The project has 472 stars and 33 forks, indicating an active community.
aser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aser on Agent Skills Hub include trpc-agent-go, sre, flock. 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: