sqlit is a Terminal User Interface (TUI) for SQL databases, inspired by lazygit. It provides a keyboard-driven interface for connecting to, querying, and managing multiple database types (including SQL Server, PostgreSQL, MySQL, SQLite, Oracle, and 20+ others). The application features a modular architecture with domains for connections, query execution, exploration, results, and shell, using a plugin-like provider system for database adapters. Built on the Textual framework, it offers Vim-style editing, autocomplete, query history, result filtering, SSH tunneling, and cloud provider integration. The codebase demonstrates strong engineering practices with reusable patterns such as a provider plugin architecture, mixin-based UI composition, protocol-driven interfaces, and secure credential management.
GCLI2API is a production-grade API proxy that converts Google Gemini CLI and Antigravity credentials into OpenAI, Gemini, and Claude compatible API endpoints. It manages OAuth credentials with automatic rotation, error-based cooldowns, and load balancing, providing a unified interface for multiple backend services. The system includes a web-based control panel for credential management, real-time logs, configuration editing, and batch operations. The architecture is a FastAPI web application with modular routers for each API format (OpenAI, Gemini, Claude) and two backend modes (geminicli, antigravity). Format converters handle bidirectional translation between Anthropic, OpenAI, and Gemini schemas, including tool calls, streaming, and thinking blocks. Storage is abstracted via an adapter pattern supporting SQLite, MongoDB, and PostgreSQL, with optional Redis caching for credential pools. Key features include streaming support with fake streaming fallback, anti-truncation via synthetic tool calls, thought signature preservation across format conversions, and a keepalive service. The system relies on httpx for async HTTP, Pydantic for data models, and external Google Cloud APIs for OAuth and quota management. Deployment is supported via Docker, docker-compose, and platform-specific install scripts for Linux, macOS, Windows, and Termux. This is a pure application with no data research or ML components. It demonstrates strong engineering practices in credential management, format conversion, and async I/O, though it suffers from some code duplication between backend modes and limited test coverage.
Antigravity Manager is an Electron desktop application that serves as a multi-account manager and local API proxy gateway for AI models (Google Gemini, Claude, OpenAI-compatible). It allows users to pool multiple Google Cloud accounts, automatically rotates between them based on real-time quota and rate limits, and exposes a local proxy server that translates between OpenAI, Anthropic, and Gemini API protocols. The application handles OAuth token lifecycle, credential storage across OS keychains and encrypted files, and includes a React UI for account management, quota monitoring, and configuration. Architecturally, the app is a monolith with three major layers: an Electron main process that bootstraps a NestJS server (Fastify), a React renderer with TanStack Router and shadcn/ui, and a Python CLI for headless account operations. The proxy gateway is the most complex module, with controllers for OpenAI chat completions, Anthropic messages, Gemini models, batch jobs, file uploads, and WebSocket-based Responses API. Credential management is handled through a multi-provider master key system with migration paths, atomic file writes, and SQLite persistence via Drizzle ORM. The codebase also includes device identity profile manipulation (fingerprint spoofing) gated by environment variables, and binary patching of the agy CLI executable. The codebase demonstrates strong engineering practices with extensive Vitest unit tests (250+ test files), Playwright e2e tests, Zod schema validation at IPC boundaries, and structured error handling. However, it also carries risks: hardcoded model aliases and Google API endpoints, fragile binary patching logic, and a large surface area of credential storage strategies that may drift as OS APIs evolve. The repo is actively maintained with frequent commits and CI pipelines, but the complex fallback chains and security-sensitive code require careful ongoing maintenance.
gimme-aws-creds is a Python CLI tool for obtaining temporary AWS and Alibaba Cloud credentials via Okta SAML authentication. It supports both Okta Classic and Identity Engine flows, handles multiple MFA methods (push, TOTP, hardware tokens, SMS, email, FIDO2/WebAuthn, Duo), and exchanges SAML assertions for temporary cloud credentials. The tool outputs credentials in various formats (export, JSON, Windows PowerShell) or writes them to standard credential files (~/.aws/credentials, ~/.aliyun/config.json). The application features a modular architecture with separate modules for Okta authentication (okta_classic.py, okta_identity_engine.py), cloud provider resolution (aws.py, alibaba_cloud.py), configuration management (config.py), MFA handling (duo.py, u2f.py, webauthn.py), and shared utilities (common.py, ui.py, debug_formatter.py). Key entry points include bin/gimme-aws-creds (main executable) and platform-specific wrappers. Data flows involve parsing configuration/authentication options, performing Okta authentication with MFA, extracting SAML assertions, assuming cloud roles via STS APIs, and formatting output. Notable reusable components include a flexible configuration system with inheritance and source tracking (config.py), isolated SAML parsing utilities (common.py), a UI abstraction layer for testability (ui.py), and a secure HTTP logging formatter that automatically redacts sensitive data (debug_formatter.py). The project is actively maintained but shows medium technical drift due to platform-specific WebAuthn dependencies requiring older Python versions on Windows and the complexity of maintaining compatibility with multiple authentication systems and cloud providers.