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Description

Agentastic.dev serves as a comprehensive macOS development environment tailored for software engineers who utilize AI coding agents. By integrating an editor, terminal, browser, Git functionalities, and agent sessions, it enables users to deploy multiple coding agents while effectively isolating tasks within Git worktrees or containers. Developers can examine code differences, execute code review processes, test their applications using the integrated browser, and initiate work based on prompts, specifications, or relevant issues from collaborative tools. Moreover, the platform features a broad selection of command-line tools for coding agents and supports the development of custom terminal-based agents. The workspace can function on local machines, SSH-accessible development systems, or within compatible cloud platforms. Additionally, an iPhone companion app provides users the capability to oversee sessions and respond to agents when they require input. The macOS application is offered at no cost, while subscriptions and API usage for third-party agents incur fees payable to those providers, ensuring a flexible pricing model for various development needs. This innovative approach not only streamlines the coding process but also enhances collaboration among developers.

Description

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.