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LangGraph vs skilder
Short answer: Pick LangGraph if you want customizable stateful agent orchestration; pick skilder if you want versioned AI plugins with guardrails. LangGraph is free and open source; skilder has a free plan.
LangGraphFramework for building stateful, controllable AI agents
skilderCompose agent plugins from skills, MCP servers and apps in one place.Which to pick
Pick LangGraph if you want…
- Customizable stateful agent orchestration
- A free, open-source tool
Pick skilder if you want…
- Versioned AI plugins with guardrails
Side by side
- What it is
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- skilder:skilder lets teams package AI skills, MCP tools and apps into versioned plugins served to any MCP-compatible assistant.
- Best for
- LangGraph:Customizable stateful agent orchestration
- skilder:Versioned AI plugins with guardrails
- Who it’s for
- LangGraph:Developers building complex, production-grade AI agents
- skilder:IT, security and product teams that need governed AI capabilities across tools.
- Pricing
- LangGraph:Open source
- skilder:Freemium
- Starting price
- LangGraph:Free
- skilder:—
- Free plan or trial
- LangGraph:Free to use
- skilder:—
- Open source
- LangGraph:Yes, 42,570 GitHub stars
- skilder:Yes, 1 GitHub stars
- Works with
- LangGraph:—
- skilder:Claude, ChatGPT, Copilot, Gemini, Grok, Muse, Cursor, GitHub
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.
skilder features
- Skill packaging. Define skills with method, scripts and metadata, stored and versioned centrally.
- MCP server integration. Connect internal MCP servers once and scope tool access per plugin.
- Guardrails & audit logs. Enforce policies on tool calls and export per-user execution traces.
- Multi-assistant support. Serve plugins to Claude, ChatGPT, Copilot, Gemini, Cursor and any MCP client.
- Enterprise security. Enterprise SSO, RBAC, OAuth, GDPR/FADP compliance, hosted in Switzerland or EU.
- App UI in chat. Render small interactive apps (tables, forms, buttons) within the AI conversation.
LangGraph vs skilder FAQ
What is the difference between LangGraph and skilder?+
LangGraph: Focuses on stateful agent workflows, not on skill versioning and enterprise guardrails.
Should I use LangGraph or skilder?+
Pick LangGraph if you want customizable stateful agent orchestration or a free, open-source tool. Pick skilder if you want versioned AI plugins with guardrails.
Is LangGraph or skilder free?+
LangGraph is free and open source. skilder has a free plan and paid plans.
Is LangGraph or skilder open source?+
Yes, both are open source: LangGraph (langchain-ai/langgraph on GitHub, MIT license) and skilder (skilder-ai/plugin on GitHub, MIT license).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.