by oneal2000 · Agent Tool · ★ 67
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
| Stars | 67 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 41.2/100 |
| Last Updated | 2026-05-21 |
| Created | 2026-04-16 |
| Platforms | python |
| Est. Tokens | ~4703k |
These tools work well together with SR-Agents for enhanced workflows:
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SR-Agents is SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.. It is categorized as a Agent Tool with 67 GitHub stars.
SR-Agents is primarily written in Python. It covers topics such as agent-memory, agent-skills, agentic-ai.
You can find installation instructions and usage details in the SR-Agents GitHub repository at github.com/oneal2000/SR-Agents. The project has 67 stars and 7 forks, indicating an active community.
SR-Agents is released under the MIT license, making it free to use and modify according to the license terms.