by RelevanceAI · Agent Tool · ★ 274
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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 | 274 |
| Forks | 44 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 36.25/100 |
| Open Issues | 6 |
| 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 274 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 274 stars and 44 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.
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