Lemony

Runtime intelligence that steers every AI agent step toward your policies

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Screenshot of Lemony, Runtime intelligence that steers every AI agent step toward your policies

What is Lemony?

Lemony builds cascadeflow, an MIT-licensed runtime that sits inside AI agent execution, scores every model and tool call against cost, latency, quality, budget, compliance and energy, and steers each step accordingly. A managed Studio edition adds visual policy builders and self-optimizing routing.

Lemony Inc. is the New York and Zurich based company behind cascadeflow, a runtime intelligence layer for AI agents. Rather than sitting at the edge of an agent's traffic like a proxy or a model router, cascadeflow runs inside the agent's execution loop. It observes model calls, tool calls and sub-agent handoffs, scores each step across cost, latency, quality, budget, compliance and energy, and then enforces the appropriate action in process. The company claims this scoring adds under 5ms of overhead. The product ships in two forms. The core cascadeflow runtime is MIT licensed and installable with pip, designed to be dropped into an existing agent script in a few lines of code. On top sits cascadeflow Studio, a managed and self-optimizing edition that adds a visual interface, a CLI, and Policy and Domain builders for setting up and adjusting how agents behave, including custom scoring dimensions beyond the six built in. Studio also supports domain-aware cascading, which classifies each query and routes it to a specialist model cascade instead of a single large general model. The tool is aimed at engineering and platform teams running autonomous agents in production, particularly those where inference spend, response latency or compliance review have become operational problems. In practice a team installs the open-source runtime, points it at an agent, and watches it score and reroute steps; upgrading to Studio moves that tuning into a managed control plane with visual policy editing. Where alternatives stop at request-level routing, cascadeflow's pitch is visibility into the decisions themselves. The tradeoff is commitment: it is infrastructure for teams already building agents, not a drop-in tool for casual users, and the strongest capabilities sit behind the managed tier.

How do you use Lemony?

  1. 1Install the open-source runtime
    Install cascadeflow from pip and confirm the package resolves in your environment before wiring it into an agent.
  2. 2Run it against an agent script
    Launch your agent through the cascadeflow run command. The runtime reports each scored step, the routing action taken and the overhead in milliseconds.
  3. 3Read the scoring output
    Inspect how individual steps are scored across cost, latency, quality, budget, compliance and energy, and which actions (such as switching model) were enforced.
  4. 4Extend policies and dimensions in Studio
    Move to cascadeflow Studio to define custom policies and scoring dimensions with the Policy Builder and Domain Builder, then tune them live.
  5. 5Book a demo for the managed tier
    Schedule a walkthrough with the Lemony team to evaluate Studio, enterprise setup and the self-optimizing runtime in your own environment.

Pros and cons

Pros

  • Sits inside agent execution rather than at the request boundary, so it can see tool calls and sub-agent handoffs that proxies missAI
  • Open-source MIT core can be adopted without a commercial contractAI
  • Scores steps across six dimensions including compliance and energy, not just costAI
  • Reported sub-5ms overhead keeps the governance layer out of the latency pathAI
  • Studio adds visual Policy and Domain builders plus custom scoring dimensionsAI

Cons

  • Requires an existing agent codebase; there is no standalone product for teams without oneAI
  • The self-optimizing and visual builder capabilities are confined to the managed Studio tierAI
  • Efficiency claims (roughly 90% cost reduction, 96% quality retention) come from vendor material and are not independently benchmarked on the pageAI
  • No public pricing is listed, so budgeting requires a sales conversationAI
  • Documentation and onboarding live on a separate cascadeflow site, which fragments the product experienceAI

How much does Lemony cost?

Free trial

The homepage does not describe a trial for Studio. It does state that the cascadeflow core is MIT licensed and free to run, which lets teams evaluate the underlying runtime before any commercial commitment.

Learn more

Pricing

No public price list appears on the homepage. The core cascadeflow runtime is open source under the MIT license. cascadeflow Studio is the managed, self-optimizing edition, and the homepage directs interested teams to book a demo rather than quoting tiers or rates.

Learn more

Support

Support runs through a contact email and a demo booking link for Studio and enterprise walkthroughs. The open-source runtime points to its GitHub repository and separate cascadeflow documentation.

Features

Step-level scoring across cost, latency, quality, budget, compliance and energy; in-process enforcement of actions such as model switching; sub-5ms overhead; observation of model calls, tool calls and sub-agent handoffs; domain-aware cascading to specialist model cascades; Policy Builder and Domain Builder in Studio; custom policies and scoring dimensions; visual UI plus CLI.

Frequently asked questions about Lemony

  • How much does Lemony cost?
    No public price list appears on the homepage. The core cascadeflow runtime is open source under the MIT license. cascadeflow Studio is the managed, self-optimizing edition, and the homepage directs interested teams to book a demo rather than quoting tiers or rates.
  • Does Lemony offer a free trial?
    The homepage does not describe a trial for Studio. It does state that the cascadeflow core is MIT licensed and free to run, which lets teams evaluate the underlying runtime before any commercial commitment.
  • How do you use Lemony?
    The walkthrough on this page covers 5 steps: 1. Install the open-source runtime 2. Run it against an agent script 3. Read the scoring output 4. Extend policies and dimensions in Studio 5. Book a demo for the managed tier.
  • What platforms does Lemony support?
    Lemony is available on Web App, Linux, MacOS and Windows.
  • What are the limitations of Lemony?
    Requires an existing agent codebase; there is no standalone product for teams without one. The self-optimizing and visual builder capabilities are confined to the managed Studio tier. Efficiency claims (roughly 90% cost reduction, 96% quality retention) come from vendor material and are not independently benchmarked on the page.

Status

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Added10/21/2026

Platforms

Web AppLinuxMacOSWindows

Pricing

FreeFreemium