AI Chat
PeopleClaw provides a powerful conversational AI experience across both Telegram and the web dashboard. Here's how it works.
How Conversations Work
When you send a message, your AI assistant processes it within your dedicated sandbox environment. The assistant maintains conversation memory — it remembers what you've discussed within the current session, so you can have natural, multi-turn conversations.
Your assistant can also execute code, browse the web, generate files, and use installed skills — all within a single conversation.
Context Memory
PeopleClaw maintains context across messages in a conversation. The assistant remembers previous messages, so you can:
- Ask follow-up questions without repeating context
- Build on previous responses
- Reference earlier parts of the conversation
PeopleClaw also stores long-term memory — important facts, preferences, and context persist across conversations. Your assistant learns your preferences over time.
Resetting Conversations
To start a fresh conversation and clear the current context, use the /reset command. This clears
the conversation history but preserves your long-term memory and settings.
Streaming Responses
On the web dashboard, responses stream in real-time — you see the text appear as it's being generated, similar to ChatGPT.
On Telegram, the assistant sends the complete response once it's ready. For long responses, the message may be split into multiple parts.
Web Chat vs Telegram
| Feature | Web Dashboard | Telegram |
|---|---|---|
| Streaming responses | Yes | No (sent when complete) |
| File upload | Yes | Yes |
| File download | Yes | Yes (sent as attachment) |
| Inline buttons | No | Yes |
| Voice messages | No | Yes |
| Model switching | UI dropdown | /model command |
| Markdown rendering | Full HTML | Telegram-flavored |
Tips
- Be specific in your requests for better results
- Use
/resetwhen switching to a completely different topic - Upload files directly for analysis — the assistant can read images, documents, and more
- Try different models for different tasks — coding models excel at code, reasoning models at complex analysis