Antigravity-Manager

Antigravity-Manager is an AI developer tool for managing Antigravity accounts, AI API proxying, and model routing from a desktop or server setup. The source reviewed for this listing is the lbjlaq/Antigravity-Manager GitHub repository, plus the public project metadata available during the 2026-08-17 entity creation run. The strongest signal is that the project describes a specific builder workflow rather than a broad assistant promise. The README describes an account dashboard, OAuth 2.0 account addition, JSON import, V1 database migration, 403 detection, OpenAI-compatible chat completions, Anthropic Messages, Gemini SDK support, model routing, Imagen size mapping, and Docker deployment. The practical workflow is simple to understand. Operators can add accounts, monitor quota health, choose the active account, expose protocol endpoints to client tools, and route model IDs through configured mappings. A team can start with the documented setup path, run it against a real repository or infrastructure account, and judge whether the output saves repeated manual work. That matters for OpenTools readers because many AI products fail at the handoff between a model response and the actual system a builder needs to operate. Antigravity-Manager is best for developers and power users who run Antigravity tools, Claude Code, Codex, Gemini CLI, Cherry Studio, or similar AI clients through shared accounts or proxy endpoints. It is less useful for nontechnical buyers who want a fully managed support contract on day one. The project gives technical users source code, configuration, and visible behavior they can inspect. That makes the tool easier to test in a small pilot before it touches production data, shared infrastructure, or a team-wide coding workflow. Setup and operations should be treated as engineering work. The README lists a shell installer, a PowerShell installer, Homebrew cask installation, Arch Linux installation, manual desktop downloads, and Docker Compose. Teams should read the README, pin a version when possible, and verify what network calls, credentials, logs, and local files are involved. If the tool connects to model providers or cloud accounts, those downstream systems still need normal controls such as scoped keys, approval flows, secret rotation, and cost monitoring. Pricing is based on the public source material, not a sales quote. The repository metadata does not assert a standard open-source SPDX license, and the README badge references CC-BY-NC-SA-4.0. Users should review license terms before commercial use. Users may still pay for their own model tokens, cloud resources, or machines. For open-source projects, the free code is only one part of the cost; the larger bill usually comes from APIs, compute, maintenance, and the time needed to keep the workflow safe as the project changes. The main reason to try Antigravity-Manager is that it targets a real bottleneck in agentic software work. Evaluate it with one contained task, record the before-and-after time, inspect the logs, and decide whether the result is easier to review than the old workflow. Because this tool handles tokens and proxy traffic, teams should test it only with scoped credentials and should review the code before relying on it. If those checks pass, Antigravity-Manager can become a useful layer in a builder stack without forcing a team into a closed platform.