Build AI agents from zero to production. This step-by-step tutorial series guides you through creating a fully-functional Telegram Agent.
- Node.js 18+ installed
- Basic JavaScript knowledge
- A text editor (VS Code recommended)
By the end of this series, you'll have a working Telegram Agent that can:
- Store persistent data (memory system)
- Archive historical data with semantic search (VectorDB)
- Schedule future reminders
- Send notifications via Telegram
- Search the web and generate images
- Clean up expired items automatically (cronjob)
| # | Tutorial | What You'll Learn |
|---|---|---|
| 1 | Getting Started | Install CLI, create agent, deploy to cloud |
| 2 | Backend Commands | Create custom commands with XML pattern |
| 3 | Memory System | Persistent storage with itemTypes |
| 4 | Scheduled Tasks | One-time reminders and cronjobs |
| 5 | Telegram Integration | Webhook setup and notifications |
| 6 | Frontend Rendering | Custom UI for commands and images |
| 7 | Vector Memory | Long-term archive with semantic search |
| 8 | Deep Research | Autonomous web research agent |
| 9 | MCP Integration | Connect to external tools (Brave, GitHub, Slack) |
| # | Tutorial | What You'll Learn |
|---|---|---|
| 10 | Node.js Full-Stack | Social app with real-time chat, image uploads |
| 11 | Java REST API | CRUD API with PostgreSQL |
| 12 | Python API | API with file uploads to S3 |
Reference: For detailed documentation on Elastic services (Postgres, Storage, Functions, Pulse), see the Elastic Reference Docs.
# Install CLI
npm install -g openkbs
# Create agent
openkbs create telegram-agent
cd telegram-agent
# Login and deploy
openkbs login
openkbs pushThe finished agent code is available in agents/telegram-agent/.
You can copy it directly:
cp -r tutorials/agents/telegram-agent my-agent
cd my-agent
openkbs push