# AnyModelBot Review

Free, open-source desktop AI assistant that routes 70+ models through one pay-per-use Modelflare account on Windows, macOS, and Linux.

## Editor's Score: 61/100

Capability scores 18 because the multi-model routing, background agent design, per-bot spending caps, and local memory are genuinely differentiated features that no single-provider competitor in this directory offers, but computer use is macOS-beta-only and the project has no proven output quality record. Ease of use scores 16 because the app requires a Modelflare account setup, per-token billing mental model, and comfort with early-stage software; there is no web UI or mobile fallback, and documentation is thin for a new project. Value scores 22 because the app is free and Modelflare's token rates are publicly documented at roughly 8% of official OpenAI prices, making the economics genuinely compelling for moderate users at an estimated $3.96 per month. Delivery scores 5 because the repository is six days old at review time, has no public usage history, no third-party audits of its local-data claims, and no support infrastructure; the core promise of reliable background agent operation is entirely unverified by any independent source.

## Pros
- Genuinely free app with no subscription: the only spend is Modelflare's per-token billing, which the pricing page shows running at roughly 8% of official OpenAI rates and 31.5% of official Anthropic rates.
- Local-first architecture keeps conversations, memory files, and API credentials on the user's own machine rather than a vendor's cloud, a meaningful privacy distinction from every SaaS competitor in this category.
- Background agent design with per-bot spending caps, scheduled rules, quiet hours (defaulting to 22:00 to 08:00), and a single "needs you" inbox is a genuinely different workflow model from standard chat interfaces.

## Cons
- The repository was created on 2026-10-27 and is at version 0.1.16: there is almost no public usage history, no community of users to surface bugs, and no third-party review of the local data handling claims, making it a real risk for anyone who needs reliability.
- No mobile app and no web interface: the bot only works when the host computer is running, which is a hard architectural limit the project itself acknowledges.
- Computer use (letting the AI act on your desktop) is beta-only and restricted to macOS, leaving Windows and Linux users without one of the headline agent features.

## Pricing

Freemium. A free tier is available.
- AnyModelBot App: $0
- Modelflare Model Usage: $0.40 per 1M input tokens (example: gpt-5.6-sol default route)

Pricing reflects what we saw at the time of review (2026-11). Confirm current pricing on the official site.

Category: AI Chatbots & Assistants (https://aitoolseekers.com/category/ai-chatbots-assistants)
Official site: https://anymodel.bot/en/
Last verified by a human: 2026-11-02

Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank.
Directory: https://aitoolseekers.com
This review: https://aitoolseekers.com/tools/anymodelbot
Methodology: https://aitoolseekers.com/how-verification-works

## Verdict

AnyModelBot is the right pick for technically comfortable solo users who want a locally-run, model-agnostic AI agent without a monthly subscription. Its pay-per-token model through Modelflare is genuinely cheaper than stacking individual subscriptions, but the app is brand new (repository created October 2026) and has almost no usage history to validate reliability. Anyone who needs a polished, proven chat experience or a mobile app should look at Claude or ChatGPT instead.

Best for: Privacy-conscious power users who want one local app for 70+ AI models with no monthly fee
Not for: Mobile-first users or anyone who needs a mature, battle-tested assistant with a support team behind it

## Overview

AnyModelBot is a local-first, MIT-licensed desktop application that lets you build and run your own AI bots using any of 71 models from providers including OpenAI, Anthropic, Google, xAI, DeepSeek, Moonshot AI, Zhipu AI, and Alibaba Cloud. The app itself costs nothing. You pay only for the tokens you consume, billed by Modelflare at publicly posted per-token rates that run roughly 8% of official OpenAI prices and 31.5% of official Anthropic prices.

The core concept positions AnyModelBot as a local alternative to xAI's Grok Bot, OpenAI's dots, and Anthropic's Claude Duet. Like those products, it is designed to run persistently in the background, take on long-running tasks such as research or report drafting in a separate session, and surface only the decisions that genuinely need you through a single "needs you" inbox. Unlike those products, your conversations, memory files, and API key stay on your own machine.

The agent layer is built around what the project calls the DeepSeek Super Agent design, following DeepSeek's dsh-superagent-prototype. You can define bots with standing rules, a schedule, and an optional observe mode that never interrupts you. Each task and rule carries its own spending cap, and quiet hours default to 22:00 to 08:00. Computer use (letting the AI take actions on your desktop) is available in beta on macOS only.

The project is very new. The GitHub repository was created on 2026-10-27, and version 0.1.16 is the current release. That means essentially no public track record, no community of users to learn from, and no third-party audits of the local data handling claims. The Modelflare billing layer is a separate dependency, and any outage or pricing change there directly affects every AnyModelBot user.

## Who should use it

AnyModelBot suits the solo developer, researcher, or technically fluent power user who wants a single local agent that can switch between GPT, Claude, Gemini, and DeepSeek without juggling four separate subscriptions or sending data to a third-party SaaS. If you regularly run long background tasks, want spending caps per bot, and are comfortable with a very early-stage open-source project, the pay-per-token economics are hard to beat: a moderate daily user pays roughly $4 a month rather than $20 or more for a single-provider subscription.

Anyone who needs a mobile app, a polished onboarding experience, or a product with a proven support history should look elsewhere. Claude (in our directory) is the stronger choice for writing, analysis, and long-context reasoning with a mature interface and a documented safety track record. ChatGPT (also in our directory) offers broader tool integrations, a mobile app, and years of real-world usage data behind it.

## FAQ

Q: Does AnyModelBot charge a monthly fee?
A: No. The app itself is free forever under the MIT license. The only cost is Modelflare's per-token billing for model usage. A typical user sending 50 messages per day on gpt-5.6-sol would pay roughly $3.96 per month.

Q: Which models does AnyModelBot support?
A: Version 0.1.16 supports 71 models from OpenAI, Anthropic, Google, xAI, DeepSeek, Moonshot AI, Zhipu AI, Alibaba Cloud, Meta, and Modelflare's own routes. The full price list is public at modelflare.dev/pricing.

Q: Is there a mobile app?
A: No. AnyModelBot runs on Windows, macOS, and Linux desktops, plus Docker and CLI. The bot only works when the host computer is on. There is no iOS or Android app.

Q: Where is my data stored?
A: Conversations, memory files, and your Modelflare API key stay on your own machine. Memory is stored as local Markdown files you can open and edit directly. Model inference calls go to Modelflare's servers.

Q: What is the computer use feature and who can use it?
A: Computer use lets the AI perform actions on your desktop. It is currently in beta and available on macOS only. Windows and Linux users do not have access to this feature yet.

Q: How mature is the project?
A: The GitHub repository was created on 2026-10-27 and the current release is version 0.1.16. It is a very early-stage project with minimal public usage history and no third-party audits yet.