by shipany-ai · Agent Tool · ★ 710
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-agent-sdk safe to install? View the security audit →
Open Agent SDK (TypeScript) Open-source Agent SDK that runs the full agent loop in-process — no subprocess or CLI required. Supports both Anthropic and OpenAI-compatible APIs. Deploy anywhere: cloud, serverless, Docker, CI/CD. Also available in Go: open-agent-sdk-go Get started Set your API key: OpenAI-compatible models Works with OpenAI, DeepSeek, Qwen, Mistral, or any OpenAI-compatible endpoint: Third-party Anthropic-compatible providers Quick start One-shot query (streaming) typescript import { query } from "@codeany/open-agent-sdk"; for await (const message of query({ prompt: "Read package.json and tell me the project name.", options: { allowedTools: ["Read", "Glob"], permissio
npm install @codeany/open-agent-sdkTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 710 |
| Forks | 288 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 73.2532422960351/100 |
| Open Issues | 4 |
| Last Updated | 2026-03-31 |
| Created | 2026-03-31 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~687k |
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open-agent-sdk is Agent-SDK without CLI dependencies, as an alternative to claude-agent-sdk, completely open source. It is categorized as a Agent Tool with 710 GitHub stars.
open-agent-sdk is primarily written in TypeScript. It covers topics such as agent-sdk, claude-agent-sdk, claude-code.
The README on GitHub (github.com/shipany-ai/open-agent-sdk) gives: npm install @codeany/open-agent-sdk. Usage details are in the same README.
The top alternatives to open-agent-sdk on Agent Skills Hub include open-agent-sdk-typescript, claude-code-docs, metabot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: