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 RelevanceAI · Agent Tool · ★ 283
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is relevanceai safe to install? View the security audit →
Relevance AI - The home of your AI Workforce 🔥 Use Relevance to build AI agents for your AI workforce Sign up for a free account - 🧠 Documentation Relevance AI SDK Welcome to the Relevance AI SDK! This guide will help you set up and start using the SDK to interact with your AI agents, tools, and knowledge. Installation To get started, you'll need to install the RelevanceAI library in a Python 3 environment. Run the following command in your terminal: Create an Account Before using the SDK, ensure you have an account with Relevance AI. Sign up for a free account at Relevance AI and log in. Create a new secret key at SDK Login. Scroll to the bottom of the integrations page, click on "+ Create new secret key," and select "Admin" permissions. Set Up Your Client To interact with Relevance AI, you'll need to set up a client. Start by importing the library: Validate Client Credentials You can validate your client credentials by storing them as environment variables and loading them into your pr
| Stars | 283 |
| Forks | 48 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.3510284318435/100 |
| Open Issues | 9 |
| Last Updated | 2026-01-15 |
| Created | 2021-07-05 |
| Platforms | python |
| Est. Tokens | ~4687k |
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relevanceai is Home of the AI workforce - Multi-agent system, AI agents & tools. It is categorized as a Agent Tool with 283 GitHub stars.
relevanceai is primarily written in Python. It covers topics such as clustering, computer-vision, embeddings.
You can find installation instructions and usage details in the relevanceai GitHub repository at github.com/RelevanceAI/relevanceai. The project has 283 stars and 48 forks, indicating an active community.
relevanceai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to relevanceai on Agent Skills Hub include SimplerLLM, yantrikdb-server, ai-microcore. 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: