Agent Hospital is a multi-agent, self-evolving system built by [[org:wisdom-pan]] that simulates a complete clinical environment. By utilizing LLMs as autonomous agents, the system models the interactions between patients, nurses, and doctors to facilitate the treatment process. The platform exposes both a cli and a…
Agent Laboratory is an autonomous research workflow designed to assist human researchers by automating repetitive tasks such as literature reviews, experiment execution, and report writing. Built by [[org:samuelschmidgall]], the system utilizes a multiagent architecture to facilitate collaboration across the research…
The AI co-scientist is a multi-agent, self-evolving system built by [[org:the-swarm-corporation]] to augment the process of [[domain:scientificdiscovery]]. By utilizing a generate, debate, and evolve methodology, the system assists researchers in formulating novel hypotheses and research proposals. It is available as…
AI-Researcher is an autonomous system built by [[org:hkuds]] designed to facilitate [[domain:scientificdiscovery]]. Utilizing a multiagent architecture, the platform provides end-to-end research automation, supporting workflows that range from detailed idea development to reference-based ideation. The system is…
AIPatient is a simulated patient system designed to support medical education and clinical decision-making through an LLM-powered multi-agent architecture. By integrating a rag framework with six task-specific agents, the system replicates high-fidelity doctor-patient interactions and complex medical reasoning. It is…
Alhazen is a biomedical LLM-agent system designed to facilitate advancements in [[domain:scientificdiscovery]]. By leveraging automated reasoning and data synthesis, the system assists researchers in navigating complex biological datasets.
Almanac Copilot is a singleagent system designed to assist clinicians with electronic medical record navigation, including information retrieval and order placement. By automating routine documentation tasks, the agent aims to reduce clinician burnout and improve the efficiency of clinical workflows.
Apex Metabolic AI Lab is a specialized biomedical system designed to address complex challenges in metabolic research. It focuses on synthesizing high-dimensional biological data to support advanced analytical workflows.
AutoBA is a singleagent system designed to perform fully automated [[domain:multiomics]] analyses. By leveraging large language models, the agent minimizes user input requirements while generating detailed, step-by-step analytical plans. Its architecture allows for the self-design of processes based on input data…
AILA is a multiagent framework designed to automate atomic force microscopy experiments within self-driving laboratories. By leveraging large language models, the system aims to replicate the adaptive decision-making and experimental intuition required for complex tasks such as calibration, feature detection, and…
AutoResearchClaw is a multi-agent, self-evolving system built by [[org:aiming-lab]] to facilitate autonomous research. Designed to support both fully autonomous workflows and human-in-the-loop collaboration, the system enables users to generate research papers by providing a topic or idea. It is evaluated on…
AutoScientists is a multi-agent system built by [[org:harvard-medical-school]] designed for long-running computational scientific experimentation. The system utilizes a decentralized architecture where AI agents self-organize into teams to evaluate hypotheses, critique proposals, and share findings to optimize…
Aviary is a multiagent gymnasium built by [[org:future-house]] for defining custom language agent reinforcement learning environments. The system provides a library and notebook interface to facilitate the development and testing of agents across various scientific and technical domains.
BIA (BioInformatics Agent) is a system designed to leverage large language models to optimize and reshape bioinformatics workflows. It aims to streamline complex computational biology tasks by integrating advanced language processing capabilities into the research pipeline.
BioAgents is a multi-agent system designed to streamline complex bioinformatics workflows through a combination of small language models and retrieval augmented generation. Built by [[org:bio-xyz]], the system is optimized for local operation and personalization using proprietary data, providing nuanced guidance for…
BioDiscoveryAgent is a multiagent system built by [[org:stanford-university]] designed to automate the closed-loop design of genetic [[domain:perturbation]] experiments. By leveraging large language models and a suite of integrated tools—including literature search, gene search, and AI-driven critique—the agent…
BioInformatics Agent (BIA) is an intelligent system built by [[org:vin-bio]] designed to facilitate autonomous bioinformatics analysis through natural language. Utilizing a multiagent architecture and a toolregistry, the system automates data extraction, workflow design, code generation, and report delivery. It is…
BioMaster is a multi-agent system designed to automate complex bioinformatics workflows through specialized, role-based agents. By utilizing a multiagent architecture combined with rag, the system dynamically retrieves domain-specific knowledge to improve adaptability and task execution. It is distributed as a library…
Biomni is a general-purpose biomedical AI agent built by [[org:stanford-university]] to autonomously execute complex research workflows. Utilizing a singleagent architecture powered by rag and code-based execution, the system dynamically composes tasks without relying on predefined templates. It is accessible via a…
BioReason is a multimodal biomedical LLM-agent system developed by [[org:bowang-lab]]. Utilizing a multiagent architecture, the system integrates DNA foundation models with large language models to facilitate complex biological reasoning and generate interpretable, step-by-step mechanistic insights from genomic data.
BioScientist Agent is an end-to-end framework designed to address the inefficiencies of traditional [[domain:drugdiscovery]]. By integrating a billion-fact biomedical knowledge graph with a multi-agent LLM architecture, the system facilitates systematic drug repurposing and the elucidation of mechanisms of action.
BORA is a Language-Based Bayesian Optimization Research Assistant designed to address high-dimensional, non-convex optimization challenges. Built by [[org:weixiang-sun]], the system utilizes a singleagent architecture to integrate Large Language Models with Bayesian optimization, providing real-time commentary and…
Camyla is a multiagent system built by [[org:yifangao112]] designed to automate the end-to-end research process for [[domain:medicalimaging]]. By taking a dataset as input, the system autonomously generates research hypotheses, executes deep-learning experiments, and produces publication-ready manuscripts. It is…
CASSIA is a multi-agent large language model designed to automate the annotation of [[domain:singlecell]] RNA-sequencing data. By integrating reasoning and quality assessment, the system aims to improve annotation accuracy while addressing common challenges such as hyperconfidence and hallucinations in existing…
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