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agentor

Active·★ 182·Apache-2.0·Updated 2026-03-30
★ Trending★ LLM Infra

Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.

Agentor is the fastest way to build and deploy long-running AI agents with durability, observability, and security. It provides features like MCP & tool security, agent-to-agent communication, serverless deployment, observability, and tool search API. With a simple Python API, you can build agents, connect tools, and serve them as APIs or deploy with Celesto.

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$ Install
$ pip install agentor
↗ Visit site★ GitHub
01

Features

01MCP & tool security
02Agent-to-agent communication
03Serverless deployment
04Observability (agent tracing and monitoring)
05Tool Search API
02

Compatibility

Python
Python
Verified via docs
JavaScript/TypeScript
JS/TS
Verified via docs
03

Quick start

1
$ pip install agentor
04

Use cases

↳Build and deploy a weather agent
↳Create a custom MCP server with LiteMCP
↳Create an agent from a Markdown file
05

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Related searches

agentor AlternativesBest Dev Tooling Tools 2026Open Source Dev Toolingagentor Tutorialagentor Vs Competitorsagentsai-agentsai-assistant

Comments

Log in to leave a comment
  • R
    River JacksonMay 10, 2026

    Agent-to-agent communication is built in, not an add-on.

  • S
    Skyler WilsonApr 22, 2026

    Fast path to building and deploying reliable AI agents with agent-to-agent support.

  • P
    Peyton ThompsonApr 10, 2026

    Reliability focus distinguishes this from frameworks that only work in demos.

  • S
    Sam LewisApr 4, 2026

    Good for teams who need agent deployment without custom infrastructure.

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2mo ago
StatusActive
LicenseApache-2.0
CategoryDev Tooling
Trend (30d)
+7.2↑ 0.6%
Links
Documentation↗Discussion↗Issues↗Releases↗

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