Boltai

Boltai

BoltAI is a native, high-performance macOS app that consolidates 300+ AI models and multiple providers into a single workspace for fast, private, multimodal AI workflows on Mac, iPhone, and iPad.

Boltai is ai agents software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Paid Enterprise 70/100
#336 in AI Agents (336 tools)
Added 4 months ago
17676 directory views this week

Quick Overview

Best for: Software & Gaming

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

Paid from Not publicly listed on the provided page (see pricing page)

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Boltai

BoltAI is a native macOS application (Intel & Apple Silicon) designed to unify access to dozens of AI model providers and local models within a single, performant workspace. Built with SwiftUI and AppKit, it targets power users and teams who want fine-grained control over LLM behavior, structured workflows (projects, multi-chat threads, forking), multimodal analysis (PDFs, screenshots, code), and privacy-first defaults. BoltAI also syncs chats and agents across Mac, iPhone, and iPad via its cloud sync, supports local model execution (e.g., Ollama, LM Studio), and integrates with remote or local MCP servers for tool/skill extension.

BoltAI is a native, high-performance macOS app that consolidates 300+ AI models and multiple providers into a single workspace for fast, private, multimodal AI workflows on Mac, iPhone, and iPad.

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Key Features

Multi-provider & multi-model access

Instantly switch between 300+ AI models and providers — including OpenAI, Anthropic, Google, Mistral, Azure, Bedrock, and local models — from a single native app without switching browser tabs.

Native macOS performance

Built with SwiftUI and AppKit for fast, responsive performance on Apple M1/M2/M3/M4 devices and macOS 13+.

Advanced workspace & workflow tools

Projects, multi-chat threads, forking/branching of chats, reusable prompt library, attachment-driven context, and advanced agent creation for structured, repeatable workflows.

Multimodal analysis

Vision-enabled models to analyze PDFs, screenshots, code, UI captures, and documents — extract structure, summarize, and get explanations instantly.

Fine-grained generation controls

Tune temperature, max tokens, top-p/top-k, penalties, system instructions and other LLM parameters to get predictable outputs across providers.

Local model & offline support

Run LLMs locally via Ollama and LM Studio for zero-latency, private responses and to avoid per-token costs.

Extensible tools & MCP support

Connect to local/remote MCP servers, toggle tools per agent, attach documents, and extend agents with code execution and custom tools/skills.

Global shortcut & clipboard/screenshot utilities

Quickly summon BoltAI from any app with a global shortcut; capture screenshots and get instant explanations, summaries, or fixes.

Privacy-first defaults

Chats are stored locally by default and never used to train models; API keys can be encrypted with a passphrase and cloud sync is opt-in and secure.

Pricing

Perpetual License

Not publicly listed on the provided page (see pricing page)
  • One-time license purchase (perpetual license references on site)
  • License management via License Manager
  • Updates and upgrade options referenced (details on pricing page)

Use Cases

Software development & code review

Explain code, get debugging suggestions, run code-execution tools, and use vision models to analyze UI screenshots or code snippets inline.

Research & document analysis

Summarize, extract structure, and synthesize insights from PDFs, research documents, and web content using multimodal models.

Content writing & editing

Generate, rewrite, and refine text with granular control over LLM parameters and context attachment for consistent voice and quality.

Automation & agents

Build reusable agents with custom instructions, tools, and knowledge to automate document generation, data extraction, or repeated workflows.

On-the-fly assistance across apps

Use the global shortcut to get quick explanations, summaries, or rewriting help without leaving the current app or context.

Integrations

OpenAI

Use OpenAI models through your own API key for chat, completions, and tool integrations.

Anthropic

Connect Anthropic models as an alternative provider for chat and completions.

Google / Gemini

Support for Google/Gemini models for text and code generation.

Mistral

Access Mistral models as one of the selectable providers.

Azure & Bedrock

Integrate models hosted on Azure or AWS Bedrock as provider backends.

Ollama & LM Studio (local models)

Run models locally to reduce latency and avoid per-token billing from cloud providers.

Perplexity, Kagi, Brave, You.com (search integrations)

Search and web browsing integrations to augment model context and retrieval.

DALL·E & Replicate

Image generation integrations for visual outputs.

Whisper (speech-to-text)

Speech transcription via Whisper (including Groq-based variants) for multimodal input.

WolframAlpha

Specialized computation and knowledge queries via WolframAlpha integration.

MCP (Model Context Protocol) servers

Connect local or remote MCP servers to provide custom tools, filesystem connectors, and OAuth-backed connectors for agents.

Gemini Code Execution

Provider-backed code execution tools to run code as part of agent workflows.

Benefits

Consolidates multiple AI providers and local models into a single native app for faster, seamless switching.
Delivers strong privacy guarantees: chats stored locally by default and API keys can be encrypted.
Offers professional workflow features (agents, branching, prompt library) suited for power users and teams.
Supports multimodal inputs (PDFs, screenshots, code) enabling richer, contextual outputs.
Enables local model execution to reduce latency and per-token costs.

Limitations

BoltAI's native Mac app requires macOS 13+ (desktop experience optimized for macOS).
Model usage costs and rate limits are determined by third-party providers — BoltAI does not include provider tokens or usage credits.
No public BoltAI API for external programmatic access is documented on the provided page.
Some advanced features (local models, MCP servers, OAuth connectors) require additional configuration and technical setup.

Frequently Asked Questions

How does BoltAI work?
BoltAI is a native macOS app that connects to multiple model providers (cloud and local), lets you manage chats, projects, and agents, and provides multimodal analysis and local storage of chats. You supply API keys for cloud providers or run models locally via supported runners.
Do I need my own API keys?
Yes. BoltAI requires you to configure your own API keys for cloud providers. The app itself does not include provider usage or tokens — usage is billed by the provider according to your account.
Which AI models and providers are supported?
BoltAI supports OpenAI, Anthropic, Google/Gemini, Mistral, Azure, AWS Bedrock, Ollama, LM Studio, and many others. It also supports integrations for search, image generation, and transcription tools.
Does BoltAI include AI usage or tokens in the price?
No. BoltAI is an app and license to use the software; model usage and token billing are handled by the model providers and your API accounts.
How does the BoltAI license and update plan work?
The site references a Perpetual License, License Manager, and options to renew or upgrade a license. Specific pricing and update policy details are available on the pricing page.
Can I use BoltAI on more than one device?
BoltAI supports macOS, iPhone, and iPad with secure cloud sync of chats, agents, and projects. Specific license seat or device limitations are not detailed on the provided page.
Do you store my chats or train on my data?
BoltAI states chats are stored locally and are never used to train models. API keys can be encrypted with a passphrase and cloud sync is designed to be secure.
Does BoltAI work offline?
BoltAI can run local models via Ollama or LM Studio for offline/zero-latency responses. Cloud provider-based models require network access.

Getting Started

  1. 1 Download BoltAI for Mac (supports Intel & Apple Silicon; requires macOS 13+).
  2. 2 Open the app and configure your API keys for the providers you want to use (BoltAI does not include model usage).
  3. 3 Optionally connect local model runners (Ollama, LM Studio) or configure MCP servers for tools and custom agents.
  4. 4 Create a project or chat, attach documents/screenshots as needed, and tune model parameters to your preference.

Support

Help Center (docs)

Access product documentation and guides via the BoltAI Help Center on their website.

Contact page

General inquiries and support requests via https://boltai.com/contact.

Changelog & Roadmap

See release notes and upcoming features via the Changelog and Roadmap pages.

Blog & Testimonials

Product updates, case studies, and user stories are available on the blog and testimonials pages.

Email updates

Subscribe to product updates and release notifications via the email subscription on the site.

API

Available: No

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