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Agent Security vs LangGraph
LangGraph provides stateful agent orchestration, not dedicated security guidance.
Agent SecuritySecurity for AI agents
LangGraphFramework for building stateful, controllable AI agentsWhich to pick
Pick Agent Security if you want…
- Comprehensive AI agent security framework
Pick LangGraph if you want…
- Customizable stateful agent orchestration
- Stateful AI agent workflows
- Open-source code (langchain-ai/langgraph on GitHub, MIT license)
Side by side
- What it is
- Agent Security:Agent Security is a knowledge platform that helps teams secure autonomous AI agents and generative AI systems.
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- Best for
- Agent Security:Comprehensive AI agent security framework
- LangGraph:Customizable stateful agent orchestration
- Who it’s for
- Agent Security:Enterprises building or operating autonomous AI agents and generative AI applications.
- LangGraph:Developers building complex, production-grade AI agents
- Pricing
- Agent Security:Contact sales
- LangGraph:Open source
- Open source
- Agent Security:—
- LangGraph:Yes, 42,570 GitHub stars
Agent Security features
- Threat model library. Provides a catalog of AI agent threat models, vulnerability analyses, and security benchmarks.
- Governance controls. Offers technical and policy controls for tool execution, memory protection, and permission management.
- Runtime monitoring. Continuously monitors autonomous decision chains and tool usage to detect attacks.
- Regulatory alignment. Maps AI agent security to emerging governance standards and compliance frameworks.
- Research hub. Curates academic papers, case studies, and incident reports on AI agent security.
- Policy templates. Provides ready-to-use security policies, guardrails, and governance resources.
LangGraph features
- Human-in-the-loop controls. Add moderation and approval steps to keep agents on track.
- Expressive workflow primitives. Create single, multi-agent, or hierarchical flows with low-level building blocks.
- Persistent memory stores. Maintain conversation history and context across sessions.
- Token-by-token streaming. Stream agent reasoning and actions in real time for better UX.
- Model-agnostic runtime. Run agents with any LLM provider using high-level or fine-grained APIs.
- Open-source MIT license. Free to use and modify without licensing fees.
Agent Security vs LangGraph FAQ
Is Agent Security or LangGraph free?+
LangGraph is free and open source.
Is Agent Security or LangGraph open source?+
LangGraph is open source (langchain-ai/langgraph on GitHub, MIT license). DevHunt has no public source repository on record for Agent Security.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.