Description
A smart, memory-powered Telegram chatbot powered by DeepSeek AI & n8n
👥 Who Is This For
🧠 AI engineers building conversational agents
📲 Telegram bot developers seeking personalization
🛠️ n8n automation users looking to add intelligence
🎓 Educators, coaches, or therapists needing continuity in chats
🌐 Product founders looking to scale user engagement
❓What Problem Does It Solve
⛔ AI bots that “forget” user context mid-conversation
⛔ Repetitive answers due to no memory system
⛔ Fragmented workflows between Telegram and LLMs
⛔ Limited personalization across sessions
⚙️ How It Works
🔗 Listens to Telegram messages using the Telegram Trigger node
🧠 Stores user messages & agent replies in long-term memory (Supabase or Redis)
🧾 Pulls chat history to maintain context across sessions
🗣️ Sends structured user prompts to DeepSeek AI for dynamic responses
🚦 Handles fallback, retries, and invalid input gracefully
📤 Responds back to the user in Telegram with personalized answers
🌟 Why It’s Special
🚀 Powered by DeepSeek AI – ideal for long, complex, contextual reasoning
🧩 Fully modular and customizable
🧠 Memory-aware conversations feel human and persistent
📈 Great for journaling, task planning, coaching, or mental health bots
🌍 Can be integrated with Supabase for multi-user memory storage
🛡️ Built-in user identity validation to prevent misuse
🧰 Tech Stack & Tools Used
🔧 n8n – Low-code workflow automation
🤖 DeepSeek AI – OpenAI-compatible LLM with longer context window
📲 Telegram Bot API – To send/receive user messages
📚 Supabase or Redis – For storing long-term memory
📦 AI Agent + System Prompt – To define personality, capabilities, and tone
🧵 Optional: LangChain Memory or Vector DB (e.g. ChromaDB)
🪄 Use Cases
💬 Personal journaling & mental health bots
📅 Intelligent scheduling assistants
🎓 Educational tutors with memory of progress
👩💻 Support bots that recall past issues
🧘 Reflective conversation agents
Project Link:-[https://preview--deepseek-memory-bot.lovable.app/]
