by meistrari · LLM Plugin · ★ 114
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Cursive is a universal and intuitive framework for interacting with LLMs. It works in any JavaScript runtime and has a heavy focus on extensibility and developer experience. ■ Highlights ✦ Compatible - Cursive works in any runtime, including the browser, Node.js, Deno, Bun and Cloudflare Workers. Through WindowAI, users can securely bring their own credentials, provider, and model to completions. ✦ Extensible - You can easily hook into any part of a completion life cycle. Be it to log, cache, or modify the results. ✦ Functions - Easily describe functions that the LLM can use along with its definition, with any model (currently supporting GPT-4, GPT-3.5, Claude 2, and Claude Instant) ✦ Universal - Cursive's goal is to bridge as many capabilities between different models as possible. Ultimately, this means that with a single interface, you can allow your users to choose any model. ✦ Informative - Cursive comes with built-in token usage and costs calculations, as accurate as possible. ✦ Reliable - Cursive comes with automatic retry and model expanding upon exceeding context length. Which you can always configure. ■ Quickstart Install.
| Stars | 114 |
| Forks | 7 |
| Language | TypeScript |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 32/100 |
| Last Updated | 2025-02-03 |
| Created | 2023-06-19 |
| Platforms | node |
| Est. Tokens | ~49k |
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cursive is ✦ The intuitive LLM framework. It is categorized as a LLM Plugin with 114 GitHub stars.
cursive is primarily written in TypeScript. It covers topics such as anthropic, framework, llm.
You can find installation instructions and usage details in the cursive GitHub repository at github.com/meistrari/cursive. The project has 114 stars and 7 forks, indicating an active community.
cursive is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cursive on Agent Skills Hub include mcp-fusion, bridgic, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.