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Description

Actionbook is an AI agent in your browser. It is built for marketers, salespeople, product teams, and solo founders who have too much web work on their plate. Use Actionbook for prospect research, dashboard reporting, creator analytics, and other multi-step web research. Get back a sourced report, a clean CSV, or ready-to-send drafts. WHAT ACTIONBOOK CAN CLOSE OUT - Prospect research: Find people and companies that match your criteria, review their recent activity, and draft personalized openers based on the source material. Organize the results into a CSV with source links. - Dashboard reporting: Collect selected analytics and campaign metrics from the dashboards you use, then prepare a clear report or CSV. - Creator analytics: Review your account insights, identify what performed and what did not, and turn the findings into a focused report with next steps. - Community and review research: Research forum discussions and customer reviews on a topic, then report what people praise and complain about, with links to the original sources. SAVE IT AS A RECIPE When a task works the way you want, turn it into a Recipe with /CreateRecipe. Next time, choose this Recipe, adjust the inputs, and run it again. As the workflow changes, you can update the Recipe instead of starting over. WORKS IN YOUR OWN BROWSER Actionbook runs in the browser you already use, not in a separate remote browser. That means it can work with dashboards, internal tools, and other pages you can open using your existing logins. Your credentials stay local.

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.