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 langchain-ai · Agent Tool · ★ 42.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is langgraph safe to install? View the security audit →
Low-level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. If you're looking to quickly build agents with LangChain's (built on LangGraph), ch
| Stars | 42,662 |
| Forks | 7,234 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.0245465366852/100 |
| Open Issues | 817 |
| Last Updated | 2026-10-03 |
| Created | 2023-08-09 |
| Platforms | gemini, python |
| Est. Tokens | ~15k |
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程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Pr
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer
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langgraph is Build resilient agents.. It is categorized as a Agent Tool with 42.7k GitHub stars.
langgraph is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the langgraph GitHub repository at github.com/langchain-ai/langgraph. The project has 42.7k stars and 7234 forks, indicating an active community.
langgraph is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to langgraph on Agent Skills Hub include voltagent, rowboat, ai-guide. 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: