Verboo Code
A coding agent with unlimited tokens at a flat price
Verboo Code is a coding agent with unlimited tokens at a flat price. Ten open models, most with a 1 million token context window, switchable by command, and four entry points under a single subscription: an open source CLI, a desktop app for macOS, Windows and Linux, a browser extension, and an OpenAI compatible endpoint that plugs into Cursor, VS Code and JetBrains. We do not resell anyone's API: we operate our own inference layer with a proprietary router and vLLM/SGLang orchestration. That is what makes a flat price with no hidden cap possible.
Features
Unlimited tokens at a flat monthly price, no hidden caps
Ten open models, most with 1M-token context, switchable by command
Open source CLI, desktop app (macOS/Windows/Linux), browser extension
OpenAI compatible endpoint for Cursor, VS Code and JetBrains
Own inference layer: proprietary router with vLLM/SGLang orchestration
Use Cases
Daily driver for professional developers who hit token caps on other coding agents
Long refactors and large-codebase work that need a 1M-token context window
Teams that want predictable AI spend with a flat monthly invoice
Using one subscription across CLI, desktop, browser and IDE integrations
Comments
Hi makers! I'm Mafra, founder of Verboo. We run an AI company in Brazil and were burning money on per-token pricing for coding agents, so we built our own inference layer (proprietary router, vLLM/SGLang orchestration) and turned it into a product: a coding agent with unlimited tokens at a flat price. Today it serves 200+ paying developers through a CLI, desktop app, browser extension and an OpenAI compatible endpoint. Happy to answer anything about running open models in production!
Flat-rate unlimited tokens with self-run inference is appealing. One subscription covering CLI, desktop app, browser extension and OpenAI-compatible IDE endpoint is convenient, and switching between 1M-context open models via commands is useful for code work. My concern: “no hidden cap” needs clear fair-use rules. Heavy agent coding sessions might trigger unstated throttling. Public latency benchmarks and SLA details would help evaluate reliability before switching daily coding workflows to it.
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Comments
Hi makers! I'm Mafra, founder of Verboo. We run an AI company in Brazil and were burning money on per-token pricing for coding agents, so we built our own inference layer (proprietary router, vLLM/SGLang orchestration) and turned it into a product: a coding agent with unlimited tokens at a flat price. Today it serves 200+ paying developers through a CLI, desktop app, browser extension and an OpenAI compatible endpoint. Happy to answer anything about running open models in production!
Flat-rate unlimited tokens with self-run inference is appealing. One subscription covering CLI, desktop app, browser extension and OpenAI-compatible IDE endpoint is convenient, and switching between 1M-context open models via commands is useful for code work. My concern: “no hidden cap” needs clear fair-use rules. Heavy agent coding sessions might trigger unstated throttling. Public latency benchmarks and SLA details would help evaluate reliability before switching daily coding workflows to it.
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