NaturalAgents is an open-source Python library designed to streamline the creation and deployment of LLM-powered agents. It provides modules for memory management, context tracking, and tool integration, allowing agents to store and recall information over long sessions. A hierarchical planner orchestrates multi-step reasoning and actions, while an extension system supports custom plugins and external API calls. Built-in logging and analytics enable developers to monitor agent performance and debug workflow issues. NaturalAgents also supports synchronous and asynchronous execution, making it flexible for both interactive use cases and automated pipelines.
NaturalAgents Core Features
Memory management modules
Tool integration framework
Hierarchical planning engine
Context tracking and retrieval
Plugin and extension system
Asynchronous task handling
Session logging and analytics
NaturalAgents Pro & Cons
The Cons
The Pros
No code required, enabling easy agent creation.
Use of plain English for building agents.
Collaborative features to save and reuse agent recipes.