fast-agent and agentor

Both tools aim to provide frameworks for building and deploying AI agents with multi-agent system (MAS) capabilities, suggesting they are **competitors** offering alternative comprehensive solutions for similar use cases within the agentic AI development space.

fast-agent
71
Verified
agentor
55
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 20/25
Stars: 3,711
Forks: 398
Downloads:
Commits (30d): 94
Language: Python
License: Apache-2.0
Stars: 160
Forks: 31
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About fast-agent

evalstate/fast-agent

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support

This tool helps developers and AI practitioners quickly build, evaluate, and deploy AI agents that interact with large language models (LLMs). It takes your instructions and configurations, allowing you to create agents that can code, answer questions, or automate tasks. The output is a functional AI agent or workflow ready to be integrated into applications or used interactively.

AI Agent Development LLM Integration Workflow Automation Agent Evaluation AI Application Development

About agentor

CelestoAI/agentor

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

This project helps developers quickly build, test, and deploy AI agents that can perform complex tasks, communicate with each other, and use external tools. It takes your agent's instructions and tool definitions and outputs a deployable, robust AI agent accessible via an API endpoint. This is for AI/ML engineers and developers who need to integrate AI agents into production applications.

AI agent development ML engineering API development Serverless deployment Multi-agent systems

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