Agentle

0
Agentle is an open-source Python library designed to simplify creation, orchestration, and deployment of AI agents powered by large language models. It offers modular components for defining multi-step workflows, integrating external APIs, managing conversational memory, and logging execution details.
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May 08 2025
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Agentle

Agentle

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0
146
Agentle
Agentle is an open-source Python library designed to simplify creation, orchestration, and deployment of AI agents powered by large language models. It offers modular components for defining multi-step workflows, integrating external APIs, managing conversational memory, and logging execution details.
Added on:
Social & Email:
Platform:
May 08 2025
--
Featured

What is Agentle?

Agentle provides a structured framework for developers to build custom AI agents with minimal boilerplate. It supports defining agent workflows as sequences of tasks, seamless integration with external APIs and tools, conversational memory management for context preservation, and built-in logging for auditability. The library also offers plugin hooks to extend functionality, multi-agent coordination for complex pipelines, and a unified interface to run agents locally or deploy via HTTP APIs.

Who will use Agentle?

  • Software developers
  • AI researchers
  • Automation engineers
  • Data scientists
  • Product teams

How to use the Agentle?

  • Step1: Install via pip: pip install agentle
  • Step2: Import Agentle modules in your Python script
  • Step3: Define an Agent class with task functions and tool connectors
  • Step4: Configure conversational memory and plugins if needed
  • Step5: Create an agent instance and call agent.run(input)
  • Step6: Inspect logs or deploy the agent via HTTP endpoint

Platform

  • mac
  • windows
  • linux

Agentle's Core Features & Benefits

The Core Features

  • Multi-step workflow orchestration
  • LLM integration and tool connectors
  • Conversational memory management
  • Execution logging and audit trail
  • Plugin and extension hooks
  • Multi-agent coordination

The Benefits

  • Speeds up agent prototyping
  • Modular and extensible design
  • Open-source with permissive license
  • Simplifies API and tool integration
  • Enhances reproducibility and logging

Agentle's Main Use Cases & Applications

  • Automated customer support chatbots
  • Data extraction and report generation
  • Process automation scripts
  • Interactive virtual assistants
  • Multi-agent orchestration pipelines

Agentle's Pros & Cons

The Pros

Simple and intuitive API design for easy agent creation
Supports complex multi-agent systems and composable pipelines
Integration with external tools and functions for enhanced capabilities
Structured outputs with strong typing via Pydantic integration
Built-in observability with automatic tracing and performance analytics
Ready for production deployment as APIs or UIs
Supports standardized agent-to-agent communication protocols
Flexible prompt management and knowledge integration features
Open-source under MIT License

The Cons

No explicit pricing information provided
Lack of mobile or app store presence limits direct end-user adoption
Possibly requires familiarity with Python and AI concepts to fully utilize

FAQs of Agentle

Agentle Company Information

Analytic of Agentle

Visit Over Time

Monthly Visits
146
Avg Visit Duration
00:00:00
Page Per Visit
1.01
Bounce Rate
41.67%
Jun 2025 - Aug 2025 All Traffic

Geography

Top 1 Regions
Finland
100%
Jun 2025 - Aug 2025 Worldwide Desktop Only

Traffic Sources

Search
42.18%
Direct
36.57%
Referrals
13.98%
Social
4.71%
Paid Referrals
1.10%
Mail
0.36%
Jun 2025 - Aug 2025 Desktop Only

Agentle Reviews

5/5
Do You Recommend Agentle? Leave a Comment Below!

Agentle's Main Competitors and alternatives?

  • LangChain
  • Auto-GPT
  • AgentGPT
  • Microsoft Semantic Kernel
  • LlamaIndex

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