LemonCrow for Enterprise

Agent infrastructure on your terms.

Run LemonCrow's intelligence, runtime controls and agent workspaces in infrastructure you control—without standardizing your teams on another coding agent or IDE.

Talk to us →See the architecture ↓
Works with
Claude Code
Codex
Opencode
Cursor
LemonCode

Developer clients

Laptop

Terminal

IDE / agent

secure connection

Customer VPC

your infrastructure · your control

Enterprise server

Intelligence · review · runtime

Workspaces

Agents · tools · builds

Policy & audit

Identity · guardrails · usage · provenance

controlled egress

Model providers

OpenAIAnthropicGoogleHugging FaceMistral

The enterprise plane

Three capabilities. One architecture.

The topology stays simple because the detail belongs here, not inside the diagram.

Enterprise Server

Remote intelligence without moving the developer experience

Central code intelligence, review state, provenance, identity and routing behind a thin client. Developers can keep their terminal and IDE while the enterprise layer runs in infrastructure you control.

Enterprise Runtime

Control how agents spend context, calls and money

Apply model routing, cache-aware execution, budgets, provider boundaries, loop controls and usage attribution across coding and other agent workloads.

Managed Workspaces

Move the execution environment off the laptop

Run agents, source, tools and builds inside isolated workspaces connected to the same server and runtime policy. LemonCrow also supports existing Coder, Kubernetes, SSH and VM estates.

Deployment

Fit LemonCrow into your infrastructure.

The enterprise architecture is deliberately provider- and workspace-neutral. Choose the deployment boundary that matches your security and operations model.

01

Customer VPC / on-prem

Server, runtime policy and workspaces run inside infrastructure your team controls.

02

Dedicated managed

A dedicated LemonCrow deployment when you want the operational burden handled for you.

03

Existing workspace estate

Connect existing Coder, Kubernetes, SSH or VM environments instead of replacing them.

Policy & governance

Put controls around the run—not around a single agent.

Identity, provider credentials, routing, budgets, audit and chargeback sit in the enterprise plane so teams can keep using the agents and model providers that fit their work.

Identity & access

SSO, RBAC, workspace grants and customer-controlled credentials.

Runtime policy

Budgets, routing, loop controls, cache policy and provider boundaries.

Evidence & audit

Review provenance, execution evidence and an auditable history of agent work.

Usage & chargeback

Attribute actual provider usage and cost to teams, projects and workloads.

Visibility

See where agent work and spend are going.

Enterprise aggregates the same execution telemetry into an organization view: usage, cost, turns, projects and outcomes.

ModelOutputTurnsCost
Claude Sonnet 4.64,120$1,840
GPT-5.11,860$960
Local · Ollama2,240$0
This week · org-wide+12.0pp tasks resolved vs. unoptimised baseline

Published runtime proof

Same model. Same work. Less time and cost.

See the full benchmark →
29.5%

lower cost

matched SWE-bench Verified runtime evaluation

23.7%

faster

same model + matched environment

37.7%

fewer turns

same tasks

92.8%

tasks resolved

vs 80.8% baseline

Published cost/speed evidence today comes from matched coding-agent evaluations. The enterprise architecture extends to broader agent workloads; those integrations are still being built and are not represented by these benchmark numbers.

Enterprise

Bring your agents. Keep your infrastructure choices.

We can start with remote intelligence only, add Runtime controls, or deploy the full managed-workspace plane.

Talk to us →Explore Runtime