by swarmauri · Agent Tool · ★ 104
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Swarmauri SDK Swarmauri is a composable intelligence infrastructure SDK for building typed, pluggable Python systems. The repository contains the public namespace package, interface contracts, reusable base classes, standard components, community integrations, plugin packages, and package-level documentation f
| Stars | 104 |
| Forks | 48 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 57.266/100 |
| Open Issues | 301 |
| Last Updated | 2026-06-14 |
| Created | 2024-04-08 |
| Platforms | python |
| Est. Tokens | ~16k |
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swarmauri-sdk is Modular Python SDK and monorepo for AI agents, LLM integrations, tools, parsers, embeddings, vector stores, and extensible application workflows.. It is categorized as a Agent Tool with 104 GitHub stars.
swarmauri-sdk is primarily written in Python. It covers topics such as agent-framework, ai-agents, artificial-intelligence.
You can find installation instructions and usage details in the swarmauri-sdk GitHub repository at github.com/swarmauri/swarmauri-sdk. The project has 104 stars and 48 forks, indicating an active community.
swarmauri-sdk is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to swarmauri-sdk on Agent Skills Hub include ai-agent-tools-catalog, ai-microcore, clientai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.