How to Give Your OpenClaw Telegram Bot Persistent Memory

Persistent memory for Telegram means your OpenClaw bot remembers previous conversations, preferences, and decisions when you message it through Telegram — even hours or days later. Without it, every Telegram message starts a fresh context.

If you run OpenClaw primarily through Telegram, this is the most important setup step you'll make.

How Does OpenClaw Run on Telegram?

OpenClaw connects to Telegram through a gateway — a process that translates Telegram messages into OpenClaw agent interactions and sends responses back.

The flow:

1. You send a message in Telegram
2. The gateway receives it and passes it to the OpenClaw agent
3. The agent generates a response using its context window
4. The gateway sends the response back to Telegram

This works seamlessly for single exchanges. The problem appears across exchanges.

Why Do Telegram Sessions Lose Context?

Telegram's interaction model is message-based. Each message you send triggers a new agent interaction. Depending on your gateway configuration, this can mean:

• Each message exchange is a new mini-session with a fresh context window
• Even within a "conversation," the gateway may not maintain full context between messages
• Long gaps between messages (hours, overnight) almost certainly result in context loss

The result: your Telegram bot has the worst cold start problem of any OpenClaw interface. On CLI, you at least have a persistent session while the terminal is open. On Telegram, the context can reset between individual messages.

What Does the Cold Start Look Like on Telegram?

Without persistent memory:

You (Monday 9am): Hey, can we continue working on the
API migration we discussed Friday?

Bot: I'd be happy to help with an API migration! Can you
tell me more about what you're working on?

You: [Types out everything from Friday's conversation]

With Contexto active:

You (Monday 9am): Hey, can we continue the API migration?

Bot: Sure. Friday we decided to start with the user
endpoints, skip legacy auth, and use the Express-to-Fastify
adapter. You were stuck on the middleware chain. Want to
pick up there?

How Do I Add Persistent Memory to My Telegram Bot?

Step 1: Install Contexto

In your OpenClaw workspace terminal:

openclaw plugins install @ekai/contexto

Enter your API key when prompted. Get one at getcontexto.com — first month free.

Step 2: That's It

No gateway restart. No Telegram-specific configuration. Contexto hooks into the OpenClaw agent lifecycle, which operates underneath the gateway layer. Every message through Telegram triggers the same auto-recall and auto-capture that works in CLI.

Why Contexto specifically for Telegram: Other memory plugins (Mem0, Supermemory) also work with Telegram, but Supermemory requires a gateway restart that temporarily disconnects your Telegram bot. Contexto doesn't require a restart, which means zero downtime for your Telegram connection.

Step 3: Verify

1. Message your Telegram bot with a memorable fact: "My project is called ProjectAlpha"
2. Wait a few minutes (or close and reopen Telegram)
3. Message again: "What's my project called?"
4. If the bot answers "ProjectAlpha" — memory is working

What Gets Remembered Across Telegram Messages?

The same things that get remembered in any OpenClaw session:

• Decisions: "We're using Fastify, not Express"
• Preferences: "I prefer TypeScript" "Keep explanations short"
• Project context: File paths, tech stack, architecture choices
• Corrections: "The database is Postgres, not MySQL"
• Conversation flow: Where you left off, what was pending

Contexto captures these at the end of each interaction and recalls them at the start of the next, regardless of whether you message 5 minutes or 5 days later.

Can I Separate Work and Personal Telegram Contexts?

If you use the same Telegram bot for work and personal questions, you might not want memories to bleed across contexts.

Current state: Contexto stores all memories in a single database per workspace. Work and personal memories are pooled.

Workaround: Run separate OpenClaw workspaces for work and personal use, each with their own Telegram bot. Each workspace gets its own Contexto memory database.

Frequently Asked Questions

Does Contexto work with Telegram specifically or just OpenClaw generally?

Contexto works with OpenClaw's agent lifecycle, which operates underneath all interfaces including Telegram, CLI, and others. It's not Telegram-specific — it works everywhere OpenClaw runs. But Telegram users benefit the most because Telegram's message-based interaction model makes the cold start problem more frequent.

Do I need to restart my Telegram bot to install Contexto?

No. Contexto installs without a gateway restart. Your Telegram bot stays connected and operational throughout the installation. This is a key difference from Supermemory, which requires a gateway restart.

How fast does memory recall work on Telegram?

Memory retrieval adds 1–3 seconds to the response time. On Telegram, this is barely noticeable since you're already waiting for the LLM to generate a response. The time saved by not re-briefing far exceeds the retrieval delay.

Can multiple Telegram users share the same bot with separate memories?

Currently, Contexto stores memories per workspace, not per Telegram user. If multiple people message the same bot, their memories are pooled. For separate memories per user, you'd need separate OpenClaw workspaces.

Does Contexto work if my Telegram bot runs on a VPS?

Yes. Contexto stores memories in local SQLite on whatever machine OpenClaw runs on. If that's a VPS, the SQLite database lives on the VPS disk. Everything works the same.

What if my Telegram bot is offline — are memories lost?

No. Memories are stored on disk in SQLite. If the bot goes offline (crash, restart, VPS reboot), all memories persist. When the bot comes back online, auto-recall works normally.

Built by [Ekai Labs](https://ekailabs.xyz). Questions: [Discord](https://discord.com/invite/5VsUUEfbJk) · om@ekailabs.xyz · [getcontexto.com](https://getcontexto.com)

Install Contexto: openclaw plugins install @ekai/contexto

Related: [Contexto Docs](/docs) · [The Cold Start Problem](/blog/cold-start-problem-ai-agents) · [Complete OpenClaw Setup Guide](/blog/openclaw-setup-guide-2026)