ToolRAG Infinity LLM tools, zero context conntraintsContext-aware tool retrieval for large language models. Introduction ToolRAG provides a seamless solution for using an unlimited number of function definitions with Large Language Models (LLMs), without worrying about context window limitations, costs, or performance degradation. 🌟 Key Features Unlimited Tool Definitions: Say goodbye to context window constraints. ToolRAG dynamically selects only the most relevant tools for each query.
| Stars | 22 |
| Forks | 3 |
| Language | TypeScript |
| Category | MCP 服务器 |
| License | Apache-2.0 |
| Quality Score | 34.7/100 |
| Last Updated | 2025-03-29 |
| Created | 2025-03-27 |
| Platforms | mcp, node |
| Est. Tokens | ~605k |
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ToolRAG is Unlimited LLM tools, zero context penalties — ToolRAG serves exactly the LLM tools your user-query demands.. It is categorized as a MCP 服务器 with 22 GitHub stars.
ToolRAG is primarily written in TypeScript. It covers topics such as anthropic, function-calling, llm.
You can find installation instructions and usage details in the ToolRAG GitHub repository at github.com/antl3x/ToolRAG. The project has 22 stars and 3 forks, indicating an active community.
ToolRAG is released under the Apache-2.0 license, making it free to use and modify according to the license terms.