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Cadenya vs LangGraph
Short answer: Pick Cadenya if you want unified runtime for AI agents with tool layering; pick LangGraph if you want customizable stateful agent orchestration. Cadenya has a free plan, paid from $49/month; LangGraph is free and open source.
CadenyaA hosted AI agent runtime for developers
LangGraphFramework for building stateful, controllable AI agentsWhich to pick
Pick Cadenya if you want…
- Unified runtime for AI agents with tool layering
Pick LangGraph if you want…
- Customizable stateful agent orchestration
- Stateful agent framework
- A free, open-source tool
Side by side
- What it is
- Cadenya:Cadenya is a hosted runtime for building, testing and running AI agents that layer tools, memory and objectives over existing APIs.
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- Best for
- Cadenya:Unified runtime for AI agents with tool layering
- LangGraph:Customizable stateful agent orchestration
- Who it’s for
- Cadenya:Developers building AI-agent applications who want a managed runtime and easy integration with their APIs.
- LangGraph:Developers building complex, production-grade AI agents
- Pricing
- Cadenya:Freemium
- LangGraph:Open source
- Starting price
- Cadenya:$49/month (Growth)
- LangGraph:Free
- Free plan or trial
- Cadenya:Free plan (Free)
- LangGraph:Free to use
- Plans
- Cadenya:Free $0 · Growth $49 per month
- LangGraph:—
- Open source
- Cadenya:—
- LangGraph:Yes, 42,570 GitHub stars
- Works with
- Cadenya:MCP servers, Anthropic Claude, Webhooks
- LangGraph:—
Cadenya features
- Tool & API Layering. Connect MCP servers, OpenAPI specs and existing endpoints so agents can use them without code changes.
- Progressive Tool Discovery. Agents request tool schemas only when needed, keeping context windows small.
- Webhooks & SSE. Push real-time agent events to your app via webhooks or Server-Sent Events.
- Frontend Widgets. Embeddable widgets enable conversational agent experiences in any frontend.
- Memory Layers. Add persistent context such as playbooks or policies that agents can reference.
- Approval-Gated Tools. Pause tool calls for human or system approval before execution.
- Sub-Agent Coordination. Agents can spawn sub-agents with independent model configs for complex tasks.
- Live Monitoring. Track token usage, tool calls, webhook deliveries and feedback per objective.
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.
Cadenya vs LangGraph FAQ
What is the difference between Cadenya and LangGraph?+
LangGraph is a code framework for stateful agents; Cadenya is a managed service with built-in monitoring, widgets and approvals.
Should I use Cadenya or LangGraph?+
Pick Cadenya if you want unified runtime for AI agents with tool layering. Pick LangGraph if you want customizable stateful agent orchestration, stateful agent framework or a free, open-source tool.
Is Cadenya or LangGraph free?+
Cadenya has a free plan; paid plans start at $49/month (Growth). LangGraph is free and open source.
Which is cheaper, Cadenya or LangGraph?+
LangGraph is free, so it costs less. Cadenya starts at $49/month (Growth).
Is Cadenya or LangGraph open source?+
LangGraph is open source (langchain-ai/langgraph on GitHub, MIT license). DevHunt has no public source repository on record for Cadenya.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.