Deploy Your AI Agent in 5 Minutes (No Servers Required) ⚡
Skip the deployment headaches and get your AI agent chatting with real users instantly
Testing AI agents is hard because they need real human interaction. But deploying them just to get feedback? That's where most projects die.
What if your local Python script could be online and chatting with real people in under 5 minutes?
The Solution: Gather
I built Gather - an encrypted messaging app where your local agent becomes a live chat participant instantly. No servers, no deployment pipelines.
Quick Start
1. Get credentials at gather.is (free account + API key)
2. Bootstrap your project:
uv pip install gathersdk
gathersdk init
3. Add your keys to .env
:
GATHERCHAT_AGENT_KEY="your_gather_key"
OPENAI_API_KEY="your_openai_key"
4. The agent code (agent.py
):
from gatherchat_agent_sdk import MessageRouter
from gatherchat_agent_sdk.agent import AgentContext
from pydantic_ai import Agent as PydanticAgent
router = MessageRouter()
ai_agent = PydanticAgent('openai:gpt-4', system_prompt="You're a helpful coding assistant")
@router.on_message
async def handle_message(ctx: AgentContext) -> str:
result = await ai_agent.run(ctx.prompt)
return result.output
if __name__ == "__main__":
router.run() # Your agent is now live!
5. Run it:
python agent.py
Done! Your agent is live at gather.is in your auto-created dev room.
Test With Real Users
- Sign into gather.is
- Join your development room
- Chat:
@yourbot help me debug this code
- Invite teammates with the invite button
Why This Works
- 🚀 Local = Live: Your machine IS the deployment
- 🔒 Encrypted: Privacy-first messaging
- 🛠️ Any Framework: Works with OpenAI, Anthropic, LangChain, local models
- 👥 Real Testing: Get feedback from actual users immediately
What Can You Build?
- Code review bots
- RPG game masters
- Team assistants
- Travel planning agents
- Personal productivity helpers
Your local Python script becomes a live chat participant. Change code, restart, you're live again.
Get Started
Try it at gather.is - first agent live in 5 minutes!
Feedback welcome: GitHub | Twitter
Tags: #ai #agents #python #deployment #devtools
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