Msgmate.io is where the Open-Chat Go platform is hosted and documented. Chatting on the hosted service is free to try, but API access, higher usage and self-hosted deployment of the broader platform are built around paid usage, so sign up or contact the team for current terms.

Open-Chat Go is designed to be self-hostable. The documentation covers server flags, environment variables and deployment so you can run the Go backend, queue and React frontend on your own infrastructure.

Does it have an API for developers?

Yes. The platform exposes REST and WebSocket APIs plus bots and agents, which is what makes it possible to plug the assistant into messengers and custom applications. An interactive OpenAPI reference is available from the docs.

Which models does it support?

The page shows a specific model such as cognitivecomputations/dolphin-2.6-mixtral-8x7b as the active LLM, and the docs describe a growing set of LLM models and tools, so you can switch between available models.

Is there a terminal client?

Yes, there is a built-in terminal UI client, so you can chat with your bot from the command line in addition to the web app.

What is Msgmate.io's monthly traffic and growth trend?

Msgmate.io currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

Is Msgmate.io free? What is its pricing model?

Msgmate.io operates on a Paid pricing model. Msgmate.io is a paid product in our records. The hosted Open-Chat service is free to try in the browser, while API access, heavier usage and self-hosted deployment of the full platform are oriented around paid plans. Exact tiers are not published publicly - sign up or contact the team for current pricing. Supported billing and checkout platforms include: not listed.

Msgmate.io — AI Tool Traffic (0/mo), Pricing, API & Alternatives

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About Msgmate.io

Multi-model LLM chat

Chat with large language models in a federated web app, with the active model shown and selectable - the site currently references cognitivecomputations/dolphin-2.6-mixtral-8x7b.

REST and WebSocket APIs

A REST API and WebSocket interface, plus an interactive OpenAPI reference, let developers build bots, agents and their own clients on top of the platform.

Self-hosting

Because Open-Chat Go is open source and self-hostable, you can run the Go backend, async worker queue and React frontend on your own servers. Docs cover flags, environment variables and deployment.

Bots, agents and tools

Bots and agents add tools and integrations to the base chat experience, so the assistant can do more than plain conversation.

Terminal UI client

A built-in terminal UI lets you chat with your bot from the command line, and the docs cover supported clients beyond the browser.

Msgmate.io now presents itself as the home of Open-Chat Go, a self-hostable chat platform developed by TBS. The stack combines a Go backend, a React frontend and an asynchronous worker queue, with a documented public surface made up of REST and WebSocket APIs, a chat and interaction model, bots and agents, a growing library of LLM models and tools, and several supported clients.

The product started out as a configurable ChatGPT-style assistant you could reach from messengers. Today the emphasis is broader and more developer-focused: the same engine powers a federated chat app, an API you can wire into your own products and industrial automation, and a server you can run yourself. The in-browser app shows a specific model - cognitivecomputations/dolphin-2.6-mixtral-8x7b - and the interface is marked as beta.

Because it is open source, much of the value is in the documentation rather than the marketing page. The docs walk through core concepts, the REST API and its auth and shared capability URLs, models and tools, supported clients, self-hosting with server flags and environment variables, the server CLI, and a built-in terminal UI client for chatting with your bot from the command line.

High-Impact Use Cases for Msgmate.io

Developer exploring LLMs

Chat with multiple LLMs

Use the browser app or built-in terminal UI to chat with LLMs like dolphin-2.6-mixtral-8x7b, switching models as needed for different tasks.

Backend engineer

Build on the API

Build bots, agents and custom chat clients on top of the documented REST and WebSocket APIs, using the interactive OpenAPI reference as your starting point.

DevOps / platform team

Self-host the platform

Deploy the Go backend, async worker queue and React frontend on your own infrastructure so chat data and model routing stay under your control.

Automation builder

Automate messenger workflows

Wire the Open-Chat assistant into messaging and automation flows so users can reach an LLM assistant from the tools they already use.

Rank	AI Tool	Monthly Visits	MoM Growth	Direct traffic share	Pricing	Head-to-Head
●	Msgmate.io	0	0%	—	Paid	Current
1	DeepSeek	372.76M	+4.3%	78% direct	Freemium	vs DeepSeek
2	Open WebUI	804.53K	-2.8%	37% direct	Freemium	vs Open WebUI
3	Ollama	9.42M	+4.3%	43% direct	Free, Freemium, Paid	vs Ollama
4	LibreChat	346.88K	-3.5%	37% direct	Free	vs LibreChat
5	Chatbot App	2.17M	-9.7%	23% direct	Freemium	vs Chatbot App
6	Jan	291.89K	-9.6%	36% direct	Free	vs Jan

Msgmate.io

Why Choose Msgmate.io

Watchouts & Trade-offs

Multi-Angle Perspectives

Traffic Acquisition Breakdown