by AgnostiqHQ · Agent Tool · ★ 136
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pip install -U multi-agent-llmTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: environment access. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 136 |
| Forks | 18 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 64/100 |
| Open Issues | 1 |
| Last Updated | 2025-02-10 |
| Created | 2024-09-18 |
| Platforms | python |
| Est. Tokens | ~1995k |
LLM based Multi-Agent methods Welcome to the LLM based Multi-Agent repository! This repository provides a lean implementation of cutting-edge techniques and methods for leveraging multi-agent architectures with Large Language Models (LLMs) for various tasks. This includes methods developed by Agnostiq Inc. as well as other state-of-the-art methods.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: