by SalesforceAIResearch · Agent Tool · ★ 603
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xLAM: A Family of Large Action Models to Empower AI Agent Systems
| Stars | 603 |
| Forks | 51 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 38.25/100 |
| Open Issues | 6 |
| Last Updated | 2025-08-21 |
| Created | 2024-02-27 |
| Platforms | python |
| Est. Tokens | ~2504k |
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xLAM is xLAM: A Family of Large Action Models to Empower AI Agent Systems. It is categorized as a Agent Tool with 603 GitHub stars.
xLAM is primarily written in Python. It covers topics such as actionstudio, agents, agentstudio.
You can find installation instructions and usage details in the xLAM GitHub repository at github.com/SalesforceAIResearch/xLAM. The project has 603 stars and 51 forks, indicating an active community.
xLAM is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to xLAM on Agent Skills Hub include holmesgpt, LLM-Agents-Papers, DemoGPT. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.