MASEval: Extending Multi-Agent Evaluation from Models to Systems
MASEval: Extending Multi-Agent Evaluation from Models to Systems explores MASEval is a framework-agnostic library for evaluating multi-agent systems, focusing on implementation decisions that impact performance.. Commercial viability score: 7/10 in Agents.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisThe Necessity of a Unified Framework for LLM-Based Agent EvaluationViability: 4.0
- Builds On ThisAgent-as-a-JudgeViability: 3.0
- Builds On ThisTowards More Standardized AI Evaluation: From Models to AgentsViability: 4.0
- Builds On ThisSecurity Considerations for Multi-agent SystemsViability: 2.0
- Prior WorkMedMASLab: A Unified Orchestration Framework for Benchmarking Multimodal Medical Multi-Agent SystemsViability: 7.0
Related Resources
- AgentSpeak(glossary)
- Mixture-of-Agents(glossary)
- Agents(glossary)
- What is the future of AI agents according to Nothing's CEO?(question)
- How do LLM efficiency advancements impact the development of AI agents?(question)
- How does AgentXRay contribute to the explainability of AI agents in complex decision-making processes?(question)
- Agents – Use Cases(use_case)