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BUPT-GAMMA Releases MASFactory to Build Multi-Agent Workflows From Natural Language

July 2, 2026 at 17:44 EDT

AI Agents
Open Source
Research & Papers

BUPT-GAMMA Lab has released MASFactory, a graph-centric framework built around "Vibe Graphing" that assembles multi-agent system (MAS) workflows from natural-language intent. The accompanying paper was accepted to the ACL 2026 Demo Track, and the project is available as open source on GitHub and PyPI.

GAMMA Lab · BUPT · Open Source (Apache-2.0)

MASFactory: describe the intent, let AI draw the agent workflow

A new framework built on "Vibe Graphing" — you state your intent in natural language, an AI drafts and refines a graph of nodes and edges, then compiles it into an executable multi-agent system. Accepted to the ACL 2026 demo track.

lines of workflow code with Vibe Graphing
vs 1,511 lines hand-written

84.76

HumanEval score, generated
vs 82.50 for manual design

interaction modes: Vibe, declarative, imperative & visual

Workflow code to build the same system

Lines of code — proportional. Same task, near-equal accuracy.

1,511

Manual design
(ChatDev)

Vibe Graphing
(generated)

~34× less glue code — for a slightly higher HumanEval score.

From intent to running system

Intent

natural language

→

Graph draft

nodes & edges

→

Refine

via dialogue

→

Executable

workflow

Layers Agent, Loop, Switch and Human on a Node/Edge skeleton, with a ContextBlock protocol injecting Memory, RAG and MCP. Reproduces ChatDev, MetaGPT, AgentVerse, CAMEL and HuggingGPT at near-equivalent performance across seven public datasets.

What developers welcome

Intent → graph → executable in one flow
No hand-written glue code
Visualizer: preview, tracing & human-in-the-loop

Open questions

How far to trust AI-drafted graphs vs explicit code
Reliability of generated graphs needs validation
API latency may become a bottleneck
Months old — few large-scale deployments yet

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