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Cadenya is a hosted runtime for building, testing and running AI agents that layer tools, memory and objectives over existing APIs.
- for
- Developers building AI-agent applications who want a managed runtime and easy integration with their APIs.
- pricing
- freemium
Key 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.
Use cases
- Add a shipment-exception handling agent to a logistics dashboard using existing dispatch APIs.
- Create a customer-support chatbot widget that calls your CRM endpoints without rewriting them.
- Run autonomous data-retrieval agents that discover and invoke new internal services on demand.
- Implement approval-gated financial transaction agents that require manual sign-off before execution.
- Build multi-step workflow agents that coordinate sub-agents for parallel processing.
Cadenya pricing
- Free$01 widget · 3 agent variations · 1,000 loops/month · 2 workspaces
- Growth$49/month5 widgets (then $10 each) · 100 agent variations · 50,000 loops/month (then $0.0015 each) · Unlimited workspaces
Cadenya vs alternatives
 Cadenya |  n8n |  LlamaIndex |  LangGraph |  Mastra | |
|---|---|---|---|---|---|
| Best for | Unified runtime for AI agents with tool layering | Visual workflow automation | LLM data indexing | Stateful agent framework | TypeScript agent framework |
| Pricing | Freemium | Subscription | Free | Free | Free |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 0 |
| Launched | Nov 2026 | — | — | — | — |
- Cadenya vs n8n: n8n offers visual workflow automation, while Cadenya focuses on AI-agent runtime with tool layering and real-time webhooks.
- Cadenya vs LlamaIndex: LlamaIndex is a data-indexing framework for LLM apps; Cadenya provides a hosted runtime for agents over existing APIs.
- Cadenya vs LangGraph: LangGraph is a code framework for stateful agents; Cadenya is a managed service with built-in monitoring, widgets and approvals.
- Cadenya vs Mastra: Mastra is a TypeScript framework for building agents; Cadenya offers a hosted runtime with no code changes to your APIs.
Cadenya FAQ
What is Cadenya?+
Cadenya is an agent runtime that layers tools, agents and objectives on top of your existing APIs, letting you build, test and improve agents without rebuilding your stack.
Do I need to rewrite my APIs?+
No. You connect MCP servers, OpenAPI specs or existing endpoints through a single tool layer and agents can use them as-is.
Does Cadenya support webhooks?+
Yes. Every event in the agentic loop can be sent to a webhook endpoint you provide.
Are there frontend widgets?+
Cadenya provides embeddable widgets that add conversational agent features to any frontend.
How is inference billed?+
New accounts receive $5 in OpenRouter credits; after that you must supply your own LLM provider credentials.
Can agents act in real time?+
Yes. Webhooks and SSE push agent events to your applications as they happen, enabling immediate downstream reactions.
Summarized by DevHunt from cadenya.com · Nov 9, 2026. Details may change; check the official site.
