Goose (by Block)
Open-source, model-agnostic AI coding agent for CLI and desktop
Run multiple local coding agents in parallel on your own machine and API keys
Airuncode is a good fit for developers who have already decided that renting a hosted agent runtime is the wrong trade, either on cost or on code privacy. Bring-your-own-key with no markup is the core value, and at 15 dollars per month the subscription is cheap relative to what parallel agent usage costs in tokens. Two things to weigh. Running many agents locally is bounded by your own hardware, so the ceiling is your machine rather than the plan. And no open-source licence is published, so despite the local-first framing you are still trusting a closed binary with repository access. The bundled 3D renderer feels tangential to the core pitch.
Airuncode is a local-first desktop runtime that runs multiple coding agents in parallel on your own hardware and provider keys, with test self-healing, context snapshots, and cost tracking.
Airuncode takes the position that the agent runtime belongs on your machine rather than in a vendor cloud. You bring your own API keys for OpenAI, Anthropic, Google, Mistral, DeepSeek, OpenRouter, and others, or run local GGUF models, and the desktop app orchestrates multiple agents working in parallel without marking up tokens. Beyond parallel execution, it ships a multi-agent swarm mode, context snapshots so you can branch and resume work, a built-in cost tracker, and test integration with Vitest, Jest, pytest, and Cargo where failing tests feed back into a self-healing loop. It also bundles V-CORE, a Vulkan 3D renderer, which is an unusual inclusion for a coding tool. Pricing is straightforward: a free tier with limited session keys, Pro at 15 dollars per month for unlimited bring-your-own-key use and swarm mode, and Studio at 49 dollars per month adding up to five seats, multi-workspace, audit trail export, and private endpoints.
Airuncode is a local-first desktop runtime for running multiple coding agents in parallel on your own hardware and provider keys.
Airuncode ships a desktop agent runtime built on the premise that agents should run on the developer machine rather than in a vendor cloud, with no token markup.
It launched to Product Hunt in September 2026 and distributes a versioned desktop application for Windows, macOS, and Linux.
The runtime executes coding agents in parallel or in swarm mode using bring-your-own-key access to OpenAI, Anthropic, Google, Mistral, DeepSeek, OpenRouter, and others, plus local GGUF models.
It adds context snapshots, a cost tracker, test integration with Vitest, Jest, pytest, and Cargo with a self-healing loop, and a bundled Vulkan 3D renderer called V-CORE.
Individual developers and small teams who run coding agents heavily, already hold provider API keys, and have capable local hardware.
Developers running agents on their own repositories.
Individual developers and small team leads.
Local-first and privacy-focused developer communities.
A developer with a strong workstation who wants parallel agent throughput without paying a hosted runtime markup.
Not stated on the vendor site; verify via public sources.
Yes. Airuncode is bring-your-own-key, which is how it avoids charging a token markup. You can also run local GGUF models.
Windows, macOS, and Linux.
Agents run on your own hardware. Any cloud model you connect will receive the context you send it.
A Pro feature that runs multiple agents together on the same work rather than one at a time.
Yes, with two 48-hour keys per week, unlimited local models, and the cost tracker.
Side-by-side pages for pricing, features, and best-fit use cases.
Open-source, model-agnostic AI coding agent for CLI and desktop
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