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 AlbanPerli · Agent Tool · ★ 81
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🔒 Is Noema-Declarative-AI safe to install? View the security audit →
Seamless integration between Python and LLM generations. With Noema, you can control the model and choose the path it will follow. This framework aims to enable developers to use LLMs as thought interpreters, not as a source of truth. Noema is built on the shoulders of llama.cpp and guidance. Installation Install llama-cpp-python using the correct backend. Basic: python from Noema import Create a subject (LLM) Subject("../Models/EXAONE-3.5-2.4B-Instruct-Q4KM.gguf", verbose=True) # Llama cpp model @Noema def think(task): """ You are a simple thinker. You have a task to perform. Always looking for the best way to perform it. """ povs = [] task = Information(f"{task}") # inject information to the LLM for i in range(4): stepnb = i + 1 reflection = Sentence("Providing a reflection about the task.", stepnb) consequence = Sentence("Providing the consequence of the reflection.", stepnb) evaluate = Sentence("Evaluating the consequence.", stepnb) pointofview = Sentence(f"Providing a point of view abo
| Stars | 81 |
| Forks | 0 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63.2282392226109/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-22 |
| Created | 2024-10-15 |
| Platforms | python |
| Est. Tokens | ~401k |
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Noema-Declarative-AI is A declarative way to control LLMs.. It is categorized as a Agent Tool with 81 GitHub stars.
Noema-Declarative-AI is primarily written in Python. It covers topics such as ai, ai-agent, ai-agent-framework.
You can find installation instructions and usage details in the Noema-Declarative-AI GitHub repository at github.com/AlbanPerli/Noema-Declarative-AI. The project has 81 stars and 0 forks, indicating an active community.
Noema-Declarative-AI is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Noema-Declarative-AI on Agent Skills Hub include LiteWebAgent, Awesome-AI-For-Security, LiteMultiAgent. 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.
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