AgentFactory: Towards Automated Agentic System Design and Optimization

arXiv:2609.01045 · cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/Significant-Gravitas/AutoGPT

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Agentic System — 44× in this paper · explained in 2 episodes
• Benchmark — 24× in this paper · explained in 2 episodes
• Fine-Tuning — 23× in this paper · explained in 5 episodes
• Foundation Model — 14× in this paper · explained in 3 episodes
• Foundation Models — 9× in this paper · explained in 7 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Multi-objective Optimization — 6× in this paper · explained in 4 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Agent Architectures — 2× in this paper · explained in 1 episode
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Self-consistency — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Agentic Optimization — 1× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Dynamic Adaptation — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Program Synthesis with Large Language Models
• Training Verifiers to Solve Math Word Problems
• Improving Factuality and Reasoning in Language Models through Multiagent Debate
• DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
• Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
• Measuring Mathematical Problem Solving With the MATH Dataset
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
• LoRA: Low-Rank Adaptation of Large Language Models
• OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
• Automated Design of Agentic Systems
• ChatDev: Communicative Agents for Software Development
• Archon: An Architecture Search Framework for Inference-Time Techniques
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
• MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
• TextGrad: Automatic "Differentiation" via Text
• AFlow: Automating Agentic Workflow Generation
• FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
• Are Large Language Models Good Statisticians?

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