EnConvo

EnConvo is a macOS AI agent launcher and companion that brings context-aware AI access, workflow automation, and plugin support into system-wide shortcuts and interfaces. It supports local models for offline and privacy-focused use.

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Overview

EnConvo is a macOS AI agent launcher and companion that stays available across the system. It combines context awareness, quick-access interfaces, and a broad extension system so users can invoke AI help from text selection, apps, files, web pages, or global hotkeys.

The product is positioned for tasks such as writing, translation, document Q&A, web search, voice input, captions, image generation, and local-model usage. It also offers a knowledge base, workflow builder, and support for offline or privacy-focused setups.

Features

Multiple entry points

Access AI from a side bar, pop-up bar, smart bar, orb, hotkeys, or voice input so the tool is available in different parts of the workflow.

Context awareness

Uses active applications, selected text, Finder files, and open web pages as context for responses and actions.

Knowledge base and document Q&A

Create a knowledge base from documents and websites, then search it with AI-powered vector search.

Custom workflows

Combine system features, tools, and workflows into custom automations that are accessible from SmartBar, PopBar, or hotkeys.

Offline and privacy mode

Run AI features with local models in offline and privacy mode, including support for Ollama and LM Studio.

Extension system

Use more than 100 plugins and open-source extensions, with support for writing, translation, web search, image generation, captions, and video download tools.

Use Cases

Inline text assistance
Select text in any app and open PopBar to get writing, translation, or summarization help without switching contexts.
System-wide command center
Use SmartBar or the companion orb to launch apps, run recent chats, and trigger tools from a central command surface.
Document and knowledge lookup
Build a personal knowledge base from documents or websites and ask questions against those sources with vector search.
Custom task automation
Set up workflows that combine built-in tools and plugins for recurring tasks such as content creation, transcription, captions, or web research.
Privacy-focused workflows
Use local models and offline mode when you want AI assistance while keeping data on the Mac.

Pros and Cons

Pros

Works across the system with several access points, including SmartBar, PopBar, an orb, and hotkeys.
Uses current screen and app context to tailor AI responses and actions.
Supports a broad set of tasks, including writing, translation, document chat, web search, voice input, captions, image generation, and video downloading.
Includes offline and privacy mode with local model support.
Offers a free tier with basic features and a daily usage limit stated on the homepage.

Cons

The pricing page linked from the site currently returns a 404, so plan structure beyond the free tier is unclear.
The source material does not provide a detailed integration list or feature-by-feature limits for the 100+ plugin ecosystem.

FAQ

What is EnConvo?

EnConvo is a macOS AI agent launcher and companion that provides context-aware access to AI tools, workflows, and plugins across the system. It can respond to selected text, active apps, Finder files, open web pages, and other screen context.

What Mac computers does it support?

The homepage says EnConvo is available for macOS 14+ and supports both Intel and Apple Silicon Macs.

Is there a free plan?

EnConvo includes a free tier described as lifetime access to basic features with a limit of 10 uses per day. The pricing page linked from the site returned a 404 during collection, so no additional plan details were available.

Does EnConvo support local models?

Yes. The homepage describes offline and privacy mode using local models, with support for Ollama and LM Studio.

Can it be extended with plugins?

The site says EnConvo supports more than 100 plugins and that all EnConvo extensions are open source and available on GitHub.