
A research framework that represents language agents as graphs and optimizes their prompts and connections.
GPTSwarm represents operations as nodes and information flow as edges. Researchers can combine agents into larger graphs, then optimize node prompts or connections between agents against a chosen task and evaluation objective. The repository includes inference examples and experimental workflows from the Language Agents as Optimizable Graphs paper.
Use it to study agent composition and optimization rather than as a ready-made business service. You choose the task, graph components, model backends, evaluation data and run budget. Results from a particular experiment do not guarantee improvements on another task. The short video shows a minimal inference example.
Product overview
A research framework that represents language agents as graphs and optimizes their prompts and connections.
Information as of October 13, 2026
74/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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