wu-2023-autogen
OfficialCoordinate AI skills via conversational agents
Education & Research#multi-agent#orchestration#conversation#human-in-the-loop#llms#agent-specialization
Authorcuriositech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AutoGen enables decentralized coordination of AI agents by using conversational messages as the primary coordination mechanism, allowing complex workflows to emerge from agent conversations rather than centralized orchestration.
Core Features & Use Cases
- Dynamic group chat patterns and runtime speaker selection for collaborative problem solving
- Separation of computation from control flow to enable reusable agent capabilities and flexible orchestration
- Human-in-the-loop support and configurable backends to mix AI and human inputs
- Adversarial and grounding specialization to improve safety, correctness, and grounding in real-world tasks
- Iterative error-feedback loops that drive robust task completion across domains
Quick Start
Instantiate two built-in agents and run a simple two-agent conversation to observe iterative refinement.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: wu-2023-autogen Download link: https://github.com/curiositech/port-daddy/archive/main.zip#wu-2023-autogen Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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