by SalesforceAIResearch · Agent Tool · ★ 623
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[]() Paper | Key Features | -- Model Instruction | Framework | Installation | <a href="https://
| Stars | 623 |
| Forks | 55 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 38.25/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-02 |
| Created | 2024-02-27 |
| Platforms | python |
| Est. Tokens | ~2504k |
Looking for a xLAM alternative? If you're comparing xLAM with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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 623 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 623 stars and 55 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 llama-cpp-agent, Awesome-AI-For-Security, holmesgpt. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.