by ShishirPatil · LLM Plugin · ★ 12.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Gorilla: Large Language Model Connected with Massive APIs Latest Updates 📢 Check out our detailed Berkeley Function Calling Leaderboard changelog (Last updated: ) for the latest dataset / model updates to the Berkeley Function Calling Leaderboard! 🤖 [07/17/2025] Announcing BFCL V4 Agentic! As function-calling forms the bedrock of Agentic systems, BFCL V4 Agentic benchmark focuses on tool-calling in real-world agent
| Stars | 12,822 |
| Forks | 1,349 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 50.038/100 |
| Open Issues | 249 |
| Last Updated | 2026-04-13 |
| Created | 2023-05-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~24636k |
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gorilla is Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). It is categorized as a LLM Plugin with 12.8k GitHub stars.
gorilla is primarily written in Python. It covers topics such as api, api-documentation, chatgpt.
You can find installation instructions and usage details in the gorilla GitHub repository at github.com/ShishirPatil/gorilla. The project has 12.8k stars and 1349 forks, indicating an active community.
gorilla is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to gorilla on Agent Skills Hub include langchain4j, langroid, mem0. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.