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 von-development · Agent Tool · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-LangGraph safe to install? View the security audit →
🦜🕸️ Awesome LangGraph & LangChain Ecosystem The definitive index of frameworks, templates, and real-world projects for building stateful, tool-using AI agents with the LangChain + LangGraph stack. Whether you’re prototyping your first agent or shipping production workflows, this list maps the whole landscape—from core libraries and platform tooling (LangGraph Platform, LangSmith) to integrations, official examples, and community projects organized by domain. What you’ll find Core frameworks: LangChain, LangGraph, LangSmith, and LangGraph Platform Integrations & MCP tooling across models, vector stores, loaders, and tools Official LangChain/LangGraph projects and prebuilt agent libraries Community projects grouped by use case (RAG, web automation, research, finance, etc.) Starter templates and learning resources to get productive fast Contributions welcome—see the Contributing Guide. Table of Contents 🦜🕸️ Awesome LangGraph \& LangChain Ecosystem Table of Contents 🌐 What is the LangChain/Graph Ecosystem Ecosystem Components: 🦜 LangChain 🔗 Core Components [Advance
| Stars | 1,697 |
| Forks | 183 |
| Language | JavaScript |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 60.2414195686814/100 |
| Last Updated | 2026-04-14 |
| Created | 2024-11-02 |
| Platforms | node |
| Est. Tokens | ~37k |
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awesome-LangGraph is An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.. It is categorized as a Agent Tool with 1.7k GitHub stars.
awesome-LangGraph is primarily written in JavaScript. It covers topics such as ai, awesome, awesome-list.
You can find installation instructions and usage details in the awesome-LangGraph GitHub repository at github.com/von-development/awesome-LangGraph. The project has 1.7k stars and 183 forks, indicating an active community.
awesome-LangGraph is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-LangGraph on Agent Skills Hub include awesome-ai-sdks, awesome-local-llm, flock. 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: