stanford-oval/storm
Storm
Storm is an automated research platform that coordinates multiple language model agents to conduct internet-based information gathering and generate structured, citation-backed articles. The system functions as a modular framework that grounds generated content in real-time web data, ensuring that all outputs are verifiable and evidence-based.
The platform distinguishes itself through a multi-agent discourse orchestrator that simulates expert dialogues to refine information discovery. By utilizing hierarchical concept mapping, the system organizes retrieved data into dynamic structures, allowing users to maintain research context and reduce cognitive load during complex synthesis tasks.
The architecture supports human-in-the-loop steering, enabling users to inject guidance and refine the research focus during active agent conversations. The pipeline is designed with a model-agnostic interface and modular components, allowing for the customization of knowledge curation, outline generation, and article writing workflows to meet specific project requirements.
Features
- Automated Research Platforms - Coordinates multiple language model agents to conduct internet-based information gathering and generate structured, citation-backed articles.
- Agentic Discourse Simulations - Coordinates specialized agents through structured turn-taking protocols to simulate expert dialogues for information discovery.
- AI Agent Orchestrators - Coordinates specialized language model agents to solve multi-step research tasks through structured discourse.
- Automated Knowledge Synthesis Tools - Conducts comprehensive research by coordinating agents to gather information and generate structured, citation-backed articles.
- Knowledge Synthesis Frameworks - Provides a modular pipeline that grounds generated content in real-time data and organizes findings into hierarchical maps.
- Research Automation Tools - Automates internet-based research by coordinating multiple language model agents to generate structured, citation-backed articles.
- Multi-Agent Task Orchestrators - Manages complex workflows where specialized agents collaborate through structured discourse to solve research tasks.
- Grounded Answer Generation - Creates long-form, factual reports by grounding language model outputs in real-time web data with accurate citations.
- Human-in-the-Loop Tools - Provides mechanisms for users to inject guidance and refine research focus during active agent conversations.
- AI Grounding Services - Connects language models to live internet data to ensure generated content is verifiable and evidence-based.
- Automated Report Generators - Automates the research process by generating full-length, citation-backed articles based on collected information.
- Agent Collaboration Protocols - Manages interactions between AI agents and users through structured protocols to explore complex topics.
- Research and Academia - LLM-powered system for researching topics and generating cited reports.
- Concept Mapping Tools - Organizes retrieved research information into dynamic, tree-like structures to maintain context and reduce cognitive load.
- Human-in-the-loop - Integrates human guidance into automated agent conversations to refine research focus and ensure goal alignment.
- Human-in-the-Loop Workflows - Allows users to steer automated research processes by providing direct guidance to agents during information gathering.
- Dynamic Mind Mapping Tools - Maintains a dynamic mind map of collected information to provide a shared conceptual space during research.
- Model Abstraction Layers - Provides a unified interface to abstract underlying language models, enabling seamless integration of diverse AI providers.
- Modular Pipeline Architectures - Decouples research tasks into independent, swappable components for customizable knowledge curation and writing workflows.
- Research and Analysis Tools - Provides specialized environments to customize knowledge curation, outline generation, and article writing workflows.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
