AI Toolbox vs Magnitude: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AI Toolbox and Magnitude — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AI Toolbox
Infi Developments
Chrome extension that adds folders, full-text search, a prompt library, and conversation export inside ChatGPT, Gemini, Claude, and Grok.
Key features
- Cross-Platform Search: One keyboard shortcut runs a full-text search across ChatGPT, Gemini, Claude, and Grok histories at once, grouping results by assistant so a single click opens the exact chat.
- Folders and Subfolders: Sort conversations into nested folders and pin the chats you return to daily, keeping the native sidebar organized as history grows.
- Bulk Conversation Export: Download many conversations at once as PDF, Markdown, plain text, JSON, or ZIP instead of saving them one by one.
- Prompt Library and Chaining: Save your best prompts once and reuse them in a click, browse a public prompt library, and run saved prompts one after another automatically.
- Smart Tags and Auto-Categorization: Paid plans tag and categorize conversations automatically so related chats stay grouped without manual filing.
- Context Mentions: Reference past chats from inside a new conversation so earlier work can be pulled into the current thread.
- Per-Platform Modules: Separate ChatGPT, Gemini, Claude, and Grok modules can be compared side by side and licensed for the platform you actually use.
- Cross-Device Sync: Folders, bookmarks, and prompts sync across devices and Chromium browsers on paid tiers.
Best for
- Research Archiving: Keep months of AI research organized in folders and export the important threads to PDF or Markdown for a permanent record.
- Finding a Half-Remembered Answer: Search every assistant at once when you cannot recall whether a conversation happened in ChatGPT, Claude, Gemini, or Grok.
- Prompt Reuse for Repetitive Work: Store proven prompts in a library and run them in sequence instead of retyping the same instructions.
- Client and Project Separation: Give each client or project its own folder tree so unrelated conversations never mix.
- Handing Off Work: Bulk-export a set of conversations as a ZIP to share reasoning and outputs with teammates who do not have access to your account.
- Multi-Assistant Workflows: Compare how different assistants answered the same question by keeping their threads filed under one topic.
Magnitude
Magnitude
Open-source inference server that profiles your hardware, picks and tunes the best local models for it, and plugs them into the coding agent you already use.
Key features
- Hardware Profiling: Inspects your CPU, GPU, and memory and recommends only the local models that will actually run well on that machine.
- Automatic Model Setup: Downloads, tunes, and serves the models you select so you never hand-configure quantization, context length, or serving flags.
- Agent-First Installation: Send one prompt to your existing coding agent and it profiles the hardware, walks you through model choice, and switches itself over to the local endpoint.
- Broad Harness Compatibility: Works as a drop-in backend for Pi, OpenCode, Hermes, OpenClaw, Codex, Claude Code, Oh My Pi, and Cline.
- Built-In Harness: Ships its own agent harness for users who want local coding assistance without adopting a separate client.
- Fully Offline Operation: Models, prompts, and files stay on the machine, so there are no API keys, no token costs, and no rate limits.
- Cross-Platform Support: Runs natively on macOS and Linux, with Windows supported through WSL.
- CLI Distribution: Installed and managed through the @magnitudedev/cli npm package with an interactive setup flow.
Best for
- Private Codebase Work: Run an agent against proprietary source without sending any of it to a hosted model provider.
- Zero-Cost Development: Replace metered API calls with local inference for high-volume experimentation and long agent runs.
- Offline and Air-Gapped Environments: Keep a coding agent working on a plane, in a secure facility, or anywhere with no reliable network.
- Hardware Evaluation: Discover which local models a given laptop or workstation can realistically serve before committing to a setup.
- Existing Agent Migration: Point a harness you already use at a local backend without changing your workflow or tooling.
- Compliance-Constrained Teams: Satisfy data-residency requirements by keeping prompts and outputs on company-controlled machines.