Project Title

parlant — LLM agents designed for real-world control and quick deployment

Overview

Parlant is an AI agent framework that addresses the common challenges faced by developers when building production AI agents. It ensures compliance with instructions and principles, rather than relying on hope that the LLM will follow them. Parlant stands out by providing a structured approach to building customer-facing agents that behave exactly as required by the business.

Key Features

Journeys: Define clear customer journeys and agent responses at each step.
Behavioral Guidelines: Easily craft agent behavior; Parlant matches relevant elements contextually.
Tool Use: Attach external APIs, data fetchers, or backend services to specific interaction events.
Domain Adaptation: Adapt the agent to specific domains or industries.

Use Cases

Customer Service: Deploy Parlant to handle customer inquiries and transactions with consistency and reliability.
Data Analysis: Use Parlant to integrate with data analysis tools for real-time insights during customer interactions.
E-commerce: Implement Parlant to manage order inquiries, refunds, and other customer service tasks in an e-commerce setting.

Advantages

Ensured Compliance: Parlant guarantees that the AI agent will follow the defined guidelines and principles.
Structured Development: Provides a clear structure for building AI agents, making the development process more predictable and manageable.
Quick Deployment: Agents can be deployed in minutes, speeding up the time-to-market for AI solutions.

Limitations / Considerations

Customization Complexity: While Parlant offers extensive customization, setting up complex behavioral guidelines and tool integrations may require significant effort.
Dependency on External Tools: The effectiveness of Parlant may depend on the reliability and performance of the external APIs and services it integrates with.

Rasa: An open-source conversational AI framework that also focuses on building chatbots and virtual assistants. Rasa differs in its approach to dialogue management and natural language understanding.
Dialogflow (Google): A commercial product for building conversational interfaces; it offers a more user-friendly interface but may not provide the same level of control and customization as Parlant.
Microsoft Bot Framework: A comprehensive framework for building enterprise-grade bots. It differs in its integration with Microsoft services and its focus on the enterprise market.

Basic Information

GitHub: https://github.com/emcie-co/parlant
Stars: 12,263
License: Unknown
Last Commit: 2025-09-18

📊 Project Information

Project Name: parlant
GitHub URL: https://github.com/emcie-co/parlant
Programming Language: Python
⭐ Stars: 12,263
🍴 Forks: 982
📅 Created: 2024-02-15
🔄 Last Updated: 2025-09-18

🏷️ Project Topics

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📚 Documentation

✅ Blog: How Parlant Ensures Agent Compliance

This article is automatically generated by AI based on GitHub project information and README content analysis

parlant

Project Description