from agentor.tools import GetWeatherTool
from agentor import Agentor
agent = Agentor(
name="Weather Agent",
model="gpt-5-mini", # Use any LLM provider - gemini/gemini-2.5-pro or anthropic/claude-3.5
tools=[GetWeatherTool()]
)
result = agent.run("What is the weather in London?") # Run the Agent
print(result)
# Serve Agent with a single line of code
agent.serve()
Celesto AI
Developer-first framework and cloud platform for easily building and scaling Agentic applications and MCP tools.
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- United Kingdom
- https://celesto.ai
- company/celestoai
- @celestoai
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- SmolVM Public
Secure runtime for AI agents to execute untrusted code -- free and open-source from Celesto AI 🧡🛡️
CelestoAI/SmolVM’s past year of commit activity - mintlify-docs Public
CelestoAI/mintlify-docs’s past year of commit activity - agentor Public
Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.
CelestoAI/agentor’s past year of commit activity - blog Public
CelestoAI/blog’s past year of commit activity - sdk Public
Python SDK and CLI for the Celesto AI platform - Deploy and manage AI agents with built-in delegated access to user resources.
CelestoAI/sdk’s past year of commit activity - .github Public
CelestoAI/.github’s past year of commit activity - ros-mcp-server Public Forked from robotmcp/ros-mcp-server
Connect AI models like Claude & GPT with robots using MCP and ROS.
CelestoAI/ros-mcp-server’s past year of commit activity
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