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Cadenya

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Unified agent runtime for safe testing and rapid improvement

From $20/mo
PaidAI AgentsDeveloper ToolsTesting & QAWorkflow Automation
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Tracked since2026

The Bottom Line

Price
From $20/mo. Compare plans

Key facts

  • Unified runtime that connects tools, agents, and objectives for safe testing and rapid iteration.
  • Supports progressive tool discovery, model swapping, and real-time webhook/SSE integration.
  • Built-in observability with feedback scoring, token metering, and agent variation comparison.

Pros

  • Reduces upfront scaffolding by providing a ready-to-use runtime
  • Flexible model swapping and tool integration without vendor lock-in
  • Strong observability and feedback mechanisms to improve agent behavior

Cons

  • No free tier available; requires a paid plan from the start
  • Pricing based on usage loops and variations may become expensive at scale

What is Cadenya?

Editorial review
Cadenya is a unified agent runtime that layers tools, agents, and objectives so developers can test safely and improve quickly. It allows you to connect existing MCP servers, OpenAPI specs, and endpoints through a single tool layer, swap models without uprooting infrastructure, and adopt advanced models fast. The platform provides progressive tool discovery to keep context windows small, real-time webhooks and SSE for event-driven integration, and built-in observability with feedback and token metering. With Cadenya, you define an agent, shape its abilities, and run objectives. The objectives data model is generic, letting developers inject creative ideas while the runtime handles scaffolding like queues, retries, tool plumbing, memory, and observability. It supports agent variations for A/B testing, memory layers for persistent context, and sub-agents for complex workflows. The platform is designed for developers who want to ship agents that are equipped to evolve without accumulating technical debt.
how we evaluateSourcecadenya.com ↗

Key Features

  • Connect MCP servers, OpenAPI specs, and existing endpoints through a single tool layer
  • Swap models (e.g., Anthropic, OpenAI) and evolve behaviors without changing infrastructure
  • Progressive tool discovery: tool schemas stay out of context window until requested
  • Real-time webhooks and server-sent events (SSE) for agent event integration
  • Token metering with graduated pricing tiers to manage costs
  • Agent variations for A/B testing different models and prompts
  • Memory layers for persistent context and document storage
  • Feedback and scoring system to evaluate agent performance

Pricing Plans

Pricing checked Oct 4, 2026

Cadenya plans and prices, checked October 2026
PlanPriceDetails
Launch

$20 / mo

  • $20 monthly usage credit
  • Loops: 0–99,999 $0.0025/loop, 100,000–2,499,999 $0.0015/loop, 2,500,000+ $0.0005/loop
  • Monthly active variations: $1 per variation
+2 more
  • Memory entries: $1 per 50 entries
  • Widgets: $10 per widget/month
Pro

Estimate your invoice

  • Everything in Launch
  • Single Sign On
  • Agents improvement
+4 more
  • Loops: $0.0025 → $0.0005 per loop (graduated)
  • Monthly active variations: $1.00 per variation
  • Memory entries: $0.02 per entry
  • Widgets: $10 per widget/month
Calculate your costView full pricing

Is Cadenya worth the price?

Good value

Cadenya's Launch tier at $20/mo with usage-based pricing is fair for early-stage builders, but the Pro tier's variable invoice makes cost unpredictable.

The graduated loop pricing is competitive, though memory and widget fees can add up. Best for startups and small teams that need flexible agent runtime without a free tier.

Hidden Costs & Gotchas

No free tier or trial, so $20/mo minimum commitment required

Memory entries cost $1 per 50 entries in Launch, which can accumulate quickly

Monthly active variations cost $1 each, so high iteration costs

How Cadenya's pricing compares

At $20/mo, billing unit not specified, Cadenya is the most affordable of its 2 comparable direct competitors.

Cadenya
$20
Julep AI
$20
LangChain
$39

Entry paid plan, monthly. Pricing checked Oct 4, 2026.

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Cadenya FAQ

How does Cadenya help developers test AI agents safely before deployment?

Cadenya provides a unified agent runtime that layers tools, agents, and objectives, allowing developers to test safely by running objectives in a controlled environment with built-in scaffolding like queues, retries, tool plumbing, memory, and observability. The platform supports agent variations for A/B testing, enabling developers to compare different agent behaviors and improve quickly without accumulating technical debt.

Which teams benefit most from using Cadenya for agent development?

Cadenya is designed for developers who want to ship agents that are equipped to evolve without accumulating technical debt. Teams building AI agents, automating workflows, or needing robust testing and observability will find the platform's ready-to-use runtime, progressive tool discovery, and built-in feedback mechanisms particularly valuable.

How does Cadenya compare to LangChain for building agent runtimes?

Unlike LangChain, which requires more manual scaffolding for tool integration and model swapping, Cadenya provides a unified agent runtime that layers tools, agents, and objectives with ready-to-use scaffolding like queues, retries, and memory. Cadenya also offers progressive tool discovery to keep context windows small and built-in observability with feedback and token metering, reducing the need for custom infrastructure.

Can Cadenya integrate with existing APIs and MCP servers?

Yes, Cadenya allows you to connect existing MCP servers, OpenAPI specs, and endpoints through a single tool layer. This enables developers to integrate their current tools and services without uprooting infrastructure, while the runtime handles tool plumbing and progressive discovery.

How is Cadenya priced and does it include a free tier?

Cadenya is a paid product with no permanently free tier available. Its pricing is based on usage loops and variations, which may become expensive at scale, so teams should evaluate their expected usage volume when planning adoption.

What are the main limitations or trade-offs of using Cadenya?

Cadenya requires a paid plan from the start, as there is no free tier. Additionally, its pricing model based on usage loops and variations may become expensive at scale, which could be a consideration for teams with high-volume agent operations.

Does Cadenya support swapping AI models without changing infrastructure?

Yes, Cadenya allows developers to swap models without uprooting infrastructure, enabling teams to adopt advanced models quickly. The platform's unified runtime handles model integration through its tool layer, so developers can change models without reworking their agent setup.

How does Cadenya handle complex workflows with multiple agents?

Cadenya supports sub-agents for complex workflows, allowing developers to break down tasks into manageable components. The platform's objectives data model is generic, letting developers inject creative ideas while the runtime handles scaffolding like queues, retries, and memory for persistent context across sub-agents.

Source: cadenya.com

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