Text the same AI from WhatsApp, Telegram, and Slack, and it remembers

WhatsApp, Telegram, Slack, and Discord are just channels. The agent behind them can have a single continuous memory if that memory lives in Vilix rather than inside any one channel or tool.

You can text the same AI agent from WhatsApp on your phone, from Telegram on your laptop, and from Slack at work, and it will remember everything across all of them. The trick is that memory does not live inside any single channel. It lives in Vilix, which the agent reads and writes automatically on every turn regardless of where the message arrives.

The channel is not the brain

Messaging platforms like WhatsApp, Telegram, Slack, Discord, Signal, and iMessage are delivery channels. They move text from your thumb to some process and back. They are not AI tools in themselves, and they do not store conversational memory in any form that an AI can reason over.

When developers build always-on agents, they typically wire a channel to a harness such as OpenClaw or Hermes. The harness handles incoming messages, routes them to a model, and sends the response back through the same channel. This works, but by default the agent still starts each session with a blank slate. It has no memory of what you asked it yesterday, no awareness of your current project, and no continuity between the WhatsApp thread and the Telegram thread.

Vilix solves this at the memory layer. You connect Vilix to the agent once as a custom MCP connector at api.vilix.ai/mcp. After that the agent has a persistent brain that follows it across every channel it runs on.

How Vilix wires into an always-on agent

Vilix is an MCP-native persistent memory layer. Every turn works in two steps that happen automatically:

• Before replying, the agent calls get_context, which loads your recent messages, saved memories from past conversations, any user rules you have set (such as "reply in bullet points when I am clearly on mobile"), and the live state of your active projects and tasks.
• After replying, the agent calls save_turn to persist what just happened, so the next message, from any channel, arrives into a brain that already knows what came before.

Memory is stored server-side in your Vilix account, tied to you rather than to any one application or device. A message you sent from WhatsApp at 9 pm is part of the context the agent loads when you text it from Telegram at 9 am the next morning.

The pattern is the same as using Vilix across tools like ChatGPT and Claude. The only difference is that here the "tools" are messaging channels, and the glue in the middle is an agent harness rather than a chat interface. You can read more about the underlying mechanics in adding memory to any agent with the Vilix MCP.

A concrete example: Telegram today, WhatsApp tomorrow

Say you are planning a product launch. On Tuesday afternoon you are at your desk and you open Telegram to ask your agent to draft a list of tasks before the launch date. The agent loads your Vilix context, sees the project you created last week, and generates a focused checklist. It saves that exchange at the end of the turn.

On Wednesday morning you are on your phone. You open WhatsApp and send a message: "What was that checklist we put together for the launch?" The agent calls get_context, finds the saved turn from yesterday, and replies with the full list, no re-explaining required.

You can then say "mark the copy review as done" and the agent updates the task state in your Vilix project. That update is part of the context from now on, in every channel.

What channels are supported

Vilix itself supports any agent or tool that accepts a custom MCP connector. The channels you can reach depend on what the underlying harness supports. OpenClaw and Hermes, two agent harnesses that already integrate with Vilix, support WhatsApp, Telegram, Slack, Discord, and other messaging platforms depending on configuration.

If you are building your own agent harness, adding Vilix as an MCP server is a single configuration step. From that point forward the agent gets persistent memory across every channel you wire to it. See the post on same AI memory across devices for more on how the server-side architecture makes this work.

User rules and project context travel with you

Memory in Vilix is not just conversation history. There are three surfaces that matter for always-on agents:

• User rules are short personal directives, applied on every turn, in every channel. "Keep replies under 100 words when I am clearly in a hurry." "Always respond in Spanish." They travel with you automatically.
• Projects and Tasks give the agent a lightweight project manager whose live state auto-injects into context. The agent knows which tasks are open, which are done, and what the project brief says, without you re-pasting it.
• Semantic and keyword search means the agent can reach back into older exchanges and find relevant detail even if it was not in the most recent messages. If you mentioned a specific constraint three weeks ago, the agent can surface it when relevant.

This is the same memory layer that works across ChatGPT, Claude, Cursor, Codex, and other AI tools. An always-on messaging agent is just another surface consuming the same context store.

Setting it up

If you are using OpenClaw or Hermes as your agent harness, Vilix is already a first-class integration. Connect your Vilix account in the harness settings, and memory starts flowing.

If you are building a custom agent, add the Vilix MCP endpoint at api.vilix.ai/mcp as a custom connector. The two MCP tools that matter are get_context and save_turn. Prompt your agent to call them at the start and end of every turn and the rest happens automatically.

Vilix has a free tier to get started. Try Vilix free and connect your first agent channel in a few minutes.

Frequently asked questions

Does Vilix integrate directly with WhatsApp or Telegram?

No. WhatsApp, Telegram, Slack, and similar platforms are message delivery channels, not AI tools. Vilix integrates with the AI agent that sits behind those channels, via a custom MCP connector. The agent handles the channel integration; Vilix handles the memory.

What agent harnesses work with Vilix for messaging bots?

OpenClaw and Hermes both support Vilix natively and can route messages from WhatsApp, Telegram, Slack, and other channels. Any custom agent harness that supports a custom MCP connector can also use Vilix.

Will the agent remember a conversation from WhatsApp when I text from Telegram?

Yes, as long as both channels are running the same agent with Vilix connected. Memory is stored in your Vilix account server-side and is not bound to any single channel or device. The agent loads the same context store regardless of which channel the message arrives from.

Can I set rules that apply across all channels?

Yes. Vilix user_rules are short personal directives that inject into every turn, in every tool or channel connected to Vilix. You set them once in your Vilix account and they apply wherever the agent reads context.

Is there a free plan?

Yes. Vilix has a free tier with no time limit, plus a Pro plan at $19.99 per month with a 7-day full-Pro trial. You can get started for free without a credit card.