AG2
AG2 is an open-source agent framework (AgentOS) for building and orchestrating multi-agent AI systems. It lets developers define specialized agents, coordinate their interactions, integrate tools and human oversight, and deploy complex workflows. AG2 abstracts away routing, state management, and conversation patterns so you can focus on designing intelligent agent teams.
AG2 Details
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Overview of AG2
What Is AG2
AG2 (formerly AutoGen) is an open-source framework and runtime for building collaborative AI agent systems. It lets developers create specialized agents — such as assistants, critics, and executors — and coordinate how they interact, share context, and complete tasks together. AG2 abstracts complex routing and memory management, making it easier to design advanced, tool-using AI systems without reinventing orchestration logic.
How To Use AG2
1. Install the Framework
Set up AG2 in Python and install via pip install ag2 or from source to begin creating your agents.
2. Configure Models
Connect your preferred language model (OpenAI, Gemini, Claude, or others) by adding API keys and configurations.
3. Define Agent Roles
Create agents with unique roles, personalities, and goals — for example, a researcher, planner, or executor.
4. Establish Interaction Patterns
Use AG2’s built-in templates (sequential, nested, or group conversations) to coordinate how agents communicate and collaborate.
5. Integrate Tools & APIs
Allow agents to access data, call APIs, execute code, or connect with external systems.
6. Deploy & Monitor
Run local tests, analyze logs, and deploy your agent team in production environments with ease.
AG2 Key Features
- Multi-Agent Orchestration – Coordinate conversations among multiple agents with structured patterns.
- Human-in-the-Loop Support – Include optional human oversight or intervention within workflows.
- Tool & API Integration – Enable agents to perform external actions like search, computation, or retrieval.
- Context & Memory Management – Maintain dialogue continuity and state across multi-turn conversations.
- Open-Source & Extensible – Fully open-source under Apache License and developer-friendly.
- Scalable to Production – Designed for both local development and enterprise-scale deployment.
AG2 Use Cases
- AI Research & Collaboration: Deploy agents that work together to brainstorm, analyze, and validate ideas.
- Customer Support Systems: Create multi-agent teams that handle inquiries, escalate issues, and summarize responses.
- Automation Pipelines: Design agent networks that manage complex workflows and decision-making processes.
- Data & Code Execution: Build agents that retrieve data, run code, and return structured insights.
- Productivity Tools: Power apps that combine reasoning, planning, and action across multiple agents.
AG2 FAQ
Is AG2 free to use?
Yes. AG2 is open-source and free to use under the Apache License.
What programming languages does it support?
AG2 is primarily built for Python developers.
Can I connect my own language model?
Yes. You can integrate any LLM backend such as GPT, Claude, or Gemini.
Is AG2 suitable for production?
Yes. It’s designed for both experimentation and scalable, production-grade deployments.
Does AG2 include visualization tools?
The framework offers logging and tracing utilities for monitoring agent performance and interactions.
Ready to try AG2?
Check out AG2 for pricing and explore how it can streamline your workflow.
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