Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance
Inspired by the interplay of inheritance and selection in biological evolution, we introduce Inherit-MAS, which makes inheritance explicit at the workflow and execution levels.
ProofPaper ↗
Key points
- Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but effective workflows are difficult to design in advance.
- Test-time evolution refines workflows using execution feedback, yet broad revisions can disturb useful components, while re-executing unchanged requests can incur redundant computation.
- When the new candidate executes, execution inheritance inherits eligible stored results only if the complete resolved request and execution context match, avoiding redundant model and tool calls.
- Compared with rerunning the same controller with execution inheritance disabled, execution inheritance reduces worker-token usage by 29.1\% on WorkBench and 34.6\% on HotpotQA, and total token usage by 5.3\% and 18.1\%.
Sources (1)
- [1]Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution InheritanceHugging Face Daily Papers · Oct 1, 12:00 AM
Inspired by the interplay of inheritance and selection in biological evolution, we introduce Inherit-MAS, which makes inheritance explicit at the workflow and execution levels.
Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but effective workflows are difficult to design in advance.
Extractive summary: sentences quoted from the sources.
Before this
- Sep 30, 2026huggingface/transformers v5.18.0: Release 5.18.0
- Sep 29, 2026NVIDIA/TensorRT-LLM v1.3.0rc29
- Sep 28, 2026Holo4: powering generalist computer-use agents
- Sep 9, 2026vllm-project/vllm v0.29.0
- Sep 5, 2026sgl-project/sglang v0.5.19
- Aug 8, 2026sgl-project/sglang v0.5.17