Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
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Updated
Sep 13, 2025 - Python
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.
Koog is the official Kotlin framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms β from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
Agent framework for the JVM. Pronounced Em-BAY-bel /ΙmΛbeΙͺbΙl/
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
The UnisonAI Multi-Agent Framework (A2A) provides a flexible and extensible environment for creating and coordinating multiple autonomous AI agents. UnisonAI is designed with flexibility and scalability in mind.
Kavach AI provides robust, multi-layered content moderation and safety guardrails for AI systems. It helps protect your AI applications from harmful content, jailbreak attempts, prompt injections, and other security vulnerabilities.
Basic Shopping Assistant AI agent example with π¦π LangChain
π€ Monitor Twitter mentions of $BTB, engage the community, and provide accurate information using AI-powered responses with the Autonomous AI Agent.
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