cursive — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by meistrari · LLM Plugin · ★ 118

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is cursive safe to install? View the security audit →

About cursive

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.

anthropicframeworkllmopenaitypescript

Quick Facts

Stars118
Forks9
LanguageTypeScript
CategoryLLM Plugin
LicenseMIT
Quality Score61.7057854084099/100
Last Updated2025-02-03
Created2023-06-19
Platformsnode
Est. Tokens~49k

Compatible Skills

These tools work well together with cursive for enhanced workflows:

  • mcp-fusion — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • vurb.ts — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • oneringai — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • zypher-agent — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

cursive alternative? Top 6 similar tools

Looking for a cursive alternative? If you're comparing cursive with other llm plugin tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • go-agent by Protocol-Lattice · ⭐ 254

    An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for

  • mcp-fusion by vinkius-labs · ⭐ 204

    MCP Fusion - The framework for AI-native MCP servers.

  • bridgic by bitsky-tech · ⭐ 150

    Bridgic is the next-generation agent development framework for building intelligent systems.

  • subagents-pydantic-ai by vstorm-co · ⭐ 61

    Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists

  • echo by Merit-Systems · ⭐ 542

    The User Pays AI SDK

  • openai-agents-go by nlpodyssey · ⭐ 270

    A lightweight, powerful framework for multi-agent workflows in Go

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Frequently Asked Questions

What is cursive?

cursive is ✦ The intuitive LLM framework. It is categorized as a LLM Plugin with 118 GitHub stars.

What programming language is cursive written in?

cursive is primarily written in TypeScript. It covers topics such as anthropic, framework, llm.

How do I install or use cursive?

You can find installation instructions and usage details in the cursive GitHub repository at github.com/meistrari/cursive. The project has 118 stars and 9 forks, indicating an active community.

What license does cursive use?

cursive is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to cursive?

The top alternatives to cursive on Agent Skills Hub include go-agent, mcp-fusion, bridgic. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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