fullstack-langgraph-nextjs-agent: Production-ready Next.js template for building AI agents with LangGraph.js

by agentailor · MCP Server · ★ 131

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

How to install fullstack-langgraph-nextjs-agent

git clone https://github.com/IBJunior/fullstack-langgraph-nextjs-agent.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-frameworkai-agentlangchainlangfuselanggraphllmmcpmodel-context-protocolnextjsopen-telemetry

Quick Facts

Stars131
Forks30
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score74/100
Open Issues1
Last Updated2026-09-04
Created2025-09-28
Platformsmcp, node
Est. Tokens~17k

About fullstack-langgraph-nextjs-agent

LangGraph.js AI Agent Template A production-ready Next.js template for building AI agents with LangGraph.js, featuring Model Context Protocol (MCP) integration, human-in-the-loop tool approval, and persistent memory.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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