AgentLab and ToolAgents

AgentLab provides a comprehensive benchmarking and testing infrastructure for web agents, while ToolAgents supplies a lightweight function-calling framework that could serve as an underlying agent implementation within AgentLab's evaluation pipeline—making them complements rather than direct competitors.

AgentLab
72
Verified
ToolAgents
59
Established
Maintenance 13/25
Adoption 10/25
Maturity 25/25
Community 24/25
Maintenance 10/25
Adoption 7/25
Maturity 25/25
Community 17/25
Stars: 530
Forks: 108
Downloads:
Commits (30d): 1
Language: Python
License:
Stars: 27
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About AgentLab

ServiceNow/AgentLab

AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.

This is a framework for researchers and developers working on AI agents that can interact with websites. It helps you build, test, and compare how well these 'web agents' perform on various online tasks. You feed in your experimental web agents and get back performance benchmarks, helping you understand their strengths and weaknesses across different web environments.

AI Agent Development Web Automation Agent Benchmarking AI Research Large Language Models

About ToolAgents

Maximilian-Winter/ToolAgents

ToolAgents is a lightweight and flexible framework for creating function-calling agents with various language models and APIs.

This project helps developers integrate large language models (LLMs) with custom tools or functions. It takes in conversational input and a set of defined tools, allowing the LLM to decide when and how to use those tools to generate a response. A developer would use this to build applications that leverage LLMs for interactive, task-oriented conversations.

LLM-application-development chatbot-engineering API-integration conversational-AI-development AI-tools

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