A lightweight framework to build AI agents with pre-built LLMs, supporting flexible task execution.

Screenshot of LAgent

About LAgent

Lagent is a Python framework that makes it easy to create, manage, and execute AI agents. It provides a simple interface to integrate pre-built models like GPT, alongside custom task executions. It’s designed to enable task automation, making it an effective tool for building autonomous agents. It also offers a rich ecosystem for managing multiple agents within a workflow.

Agentic

Developer
InternLM
Added
56 days ago

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AI Agent Categories

AI Agents

Autonomous and intelligent AI systems designed to independently plan, coordinate, and execute complex tasks. These agents leverage advanced models and frameworks to analyze data, make decisions, and perform actions across diverse applications such as productivity, customer support, or operational management.

Research Assistants

AI agents designed to support research activities by gathering relevant information, analyzing data, summarizing findings, and even generating hypotheses. These agents assist in academic research, market analysis, scientific studies, and more, helping researchers to save time and focus on critical aspects of their work.

Code Assistants

AI agents designed to assist developers in coding tasks. These agents can provide intelligent code suggestions, identify and fix bugs, automate repetitive coding tasks, and help developers follow best practices to write efficient and maintainable code.

Task Automation

AI agents that streamline and automate repetitive tasks across various domains, including business processes, IT management, and personal workflows. These agents help reduce manual effort, improve efficiency, and enhance productivity by handling tasks such as scheduling, data entry, and notifications.

Data Integration Agents

Agents focused on managing and integrating data from diverse sources, enhancing data quality and workflow automation.

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