AI4Paper is an intelligent multi-agent system designed to automate the academic paper writing process. Users provide a research topic, and our system orchestrates multiple specialized AI agents to collaboratively produce high-quality academic papers through a structured, stage-based workflow.
flowchart TB
subgraph Input
A[User Input<br/>Topic/Goal]
end
subgraph Orchestration
B[Orchestrator<br/>Main Agent]
C[Planning Agent<br/>Stage Design & Task Breakdown]
D[Monitor Agent<br/>Progress Track & Quality Check]
end
subgraph TaskAgents [Specialized Task Agents - Parallel Execution]
E[Literature Agent<br/>Search & Analyze]
F[Outline Agent<br/>Structure & Organize]
G[Writing Agents<br/>Parallel Sections]
H[Review Agent<br/>Edit & Polish]
end
subgraph Output
I[Final Paper]
end
A --> B
B <--> C
B <--> D
C --> E & F & G & H
D -.-> E & F & G & H
E & F & G & H --> I
The central coordinator that manages the entire paper writing workflow:
- Receives user topic/research goal
- Delegates tasks to specialized agents
- Manages inter-agent communication
- Ensures coherent final output
Responsible for strategic planning:
- Analyzes the research topic scope
- Designs the paper structure
- Breaks down work into parallel-executable stages
- Creates task dependencies and timelines
| Agent | Responsibility |
|---|---|
| Literature Agent | Search, retrieve, and analyze relevant papers and sources |
| Outline Agent | Create logical paper structure and section organization |
| Writing Agents | Multiple agents writing different sections in parallel |
| Review Agent | Edit, refine, and ensure academic quality standards |
Quality assurance and progress tracking:
- Tracks completion status of each stage
- Validates output quality at checkpoints
- Handles error recovery and re-execution
flowchart LR
subgraph Stage1 [Stage 1]
S1[Topic Analysis<br/>& Planning]
end
subgraph Stage2 [Stage 2]
S2[Literature Review<br/>Parallel Search]
end
subgraph Stage3 [Stage 3]
S3[Outline<br/>Generation]
end
subgraph Stage4 [Stage 4 - Parallel Writing]
S4A[Introduction<br/>Agent]
S4B[Methodology<br/>Agent]
S4C[Results<br/>Agent]
S4D[Discussion<br/>Agent]
end
subgraph Stage5 [Stage 5]
S5[Integration<br/>& Review]
end
subgraph Stage6 [Stage 6]
S6[Final Polish<br/>& Export]
end
S1 --> S2 --> S3 --> S4A & S4B & S4C & S4D
S4A & S4B & S4C & S4D --> S5 --> S6
- Topic-Driven: Simply provide a research topic to start
- Stage-Based Pipeline: Clear, structured workflow with defined checkpoints
- Parallel Execution: Multiple agents work simultaneously on independent tasks
- Quality Assurance: Built-in review and refinement at each stage
- Modular Design: Easy to extend with new specialized agents
flowchart LR
A["User Input:<br/>'Machine Learning for<br/>Climate Change Prediction'"] --> B{AI4Paper}
B --> C["1. Plans paper structure"]
B --> D["2. Searches literature"]
B --> E["3. Generates outline"]
B --> F["4. Writes sections<br/>(parallel)"]
B --> G["5. Reviews & integrates"]
B --> H["6. Outputs final paper"]
C --> D --> E --> F --> G --> H
We welcome contributions to expand our agent ecosystem. See our contribution guidelines for more details.
See LICENSE for details.