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 vortico · MCP Server · ★ 297
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flama safe to install? View the security audit →
Light up your models 🔥 Flama The production framework for Predictive and Generative AI. Turn any model into a production API in a single line of code. Serve predictive and generative mode
| Stars | 297 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.5484855334041/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-14 |
| Created | 2018-09-27 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~16k |
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flama is The production framework for Predictive and Generative AI. Serve any model as an API in one line, with OpenAI/Anthropic/Ollama-compatible endpoints, a built-in chat UI, and native MCP.. It is categorized as a MCP Server with 297 GitHub stars.
flama is primarily written in Python. It covers topics such as anthropic, asgi, chatbot.
You can find installation instructions and usage details in the flama GitHub repository at github.com/vortico/flama. The project has 297 stars and 16 forks, indicating an active community.
flama is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to flama on Agent Skills Hub include tools, samples, BambooAI. 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: