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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.

Description

Poolside is an AI developer agent platform designed to bring intelligent coding assistance into the environments where software teams already build. Developers can use Poolside through the command line, popular IDEs, web access, and automated pipeline workflows. Its agents can assist with code generation, review, testing, automation, and repository-level tasks without forcing users to switch tools. The platform includes sandboxed execution so agent-generated code can be run and checked in a contained environment before it reaches production work. Teams can apply explicit permissions that define whether agents may read files, edit directories, execute commands, or access APIs. Poolside also adds checkpoints for AI-assisted work, making each agent action inspectable, reversible, and separate from standard Git history. The Poolside Console gives engineering leaders visibility into agent activity, policies, usage, costs, models, and compliance-related traceability. It supports Poolside’s own foundation models as well as third-party and self-hosted models through a consistent agent experience. With its developer-focused integrations and administrative oversight, Poolside helps teams adopt AI agents while maintaining control, security, and accountability.