Discover AI agents built for Research: Comprehensive directory of solutions verified by AI agency professionals focused on the Research sector.

AI Agents for Research | AI Agent Store

QuillBot is a comprehensive AI-driven writing platform designed to assist users in improving their writing through a suite of tools. Key features include a Paraphraser that rephrases text to enhance clarity and style, a Grammar Checker that identifies and corrects grammatical errors, a Summarizer that condenses lengthy texts, and an AI Detector that analyzes content for AI-generated text. QuillBot integrates seamlessly with various platforms, including browser extensions and word processors, making it a versatile tool for students, professionals, and content creators aiming to produce polished and effective written communication.

QuillBot

quillbot

An AI-powered writing assistant offering tools for paraphrasing, grammar checking, summarizing, and more to enhance writing quality and productivity.

Chroma is an open-source, AI-native vector database built for storing and querying embeddings alongside metadata. It supports full‑text and multimodal search, scalable retrieval, and powers retrieval‑augmented generation workflows. Available as both a local SDK and a private‑preview managed cloud, Chroma offers strong developer ergonomics and extensible integrations for building production‑grade LLM applications.

Chroma

chroma

An open‑source vector database and embeddings engine for building retrieval‑augmented AI applications.

Suna AI, developed by Kortix, is a fully open-source generalist AI agent designed to autonomously perform complex real-world tasks based on natural language instructions. It integrates capabilities such as web browsing, data extraction, document generation, and system-level operations, enabling users to delegate multifaceted workflows. With a modular architecture built using TypeScript and Python, Suna supports browser automation, command-line execution, and API integrations. Users can deploy Suna via a cloud interface or self-host it for enhanced control and customization.

Suna by Kortix AI

suna-ai

An open-source generalist AI agent that autonomously executes complex real-world tasks through natural language interaction.

Convergence AI is a London-based AI research lab developing 'Proxy', an autonomous agent designed to navigate and automate complex web-based workflows. Utilizing Large Meta Learning Models (LMLMs), Proxy adapts to dynamic interfaces, manages multi-step processes, and learns from user interactions to enhance performance over time. The platform aims to transform digital work by enabling agents that can perceive, reason, and act with human-like adaptability. In May 2025, Salesforce announced its acquisition of Convergence to integrate its technology into the Agentforce platform, enhancing AI-driven customer interaction and productivity solutions.

Convergence Proxy AI

convergence-proxy-ai

An AI agent platform enabling autonomous task execution across dynamic digital workflows.

AlphaEvolve is an evolutionary AI coding agent developed by Google DeepMind, designed to autonomously discover and optimize complex algorithms across various domains. Leveraging the capabilities of Gemini 2.5 Flash and Pro models, AlphaEvolve employs an ensemble approach that balances computational throughput with solution quality. It utilizes an evolutionary framework where large language models generate candidate algorithms, which are then evaluated and refined through automated processes. This system has achieved notable successes, including surpassing the 56-year-old Strassen algorithm for matrix multiplication and optimizing data center scheduling, leading to significant efficiency gains. AlphaEvolve's ability to generate provably novel and correct algorithms marks a significant advancement in AI-driven scientific discovery.

AlphaEvolve

alphaevolve

A Gemini-powered AI coding agent that autonomously discovers and optimizes complex algorithms.

Google's AI Co-Scientist is a multi-agent system built on Gemini 2.0, designed to function as a virtual scientific collaborator. It assists researchers by generating novel hypotheses, designing experiments, and analyzing complex datasets. The system employs specialized agents that mimic the scientific method through processes like generation, reflection, and ranking. In collaboration with institutions like Stanford University and Imperial College London, the AI Co-Scientist has demonstrated its ability to identify novel biological mechanisms and potential therapeutic targets, showcasing its potential to accelerate scientific and biomedical discoveries.

Google AI Co-Scientist

google-ai-co-scientist

A multi-agent AI system that collaborates with scientists to generate hypotheses and accelerate biomedical research.

Refact.ai is an open-source AI coding assistant designed to enhance developer productivity by providing intelligent code completions, refactoring tools, and context-aware chat within popular IDEs like JetBrains and Visual Studio Code. Utilizing Retrieval-Augmented Generation (RAG), it understands entire codebases to deliver accurate suggestions. Refact.ai supports over 25 programming languages and allows for self-hosting, ensuring data privacy. Its flexible pricing includes a free tier with 5,000 coins and a Pro plan offering additional features and coin allowances. Enterprise solutions include on-premise deployment and model fine-tuning tailored to organizational codebases.

Refact.ai

refact-ai

An open-source AI coding assistant offering context-aware code completions, refactoring, and in-IDE chat across major IDEs.

Agent Network Protocol (ANP) is an open-source communication protocol designed to facilitate secure, decentralized interactions among AI agents. It aims to become the 'HTTP of the Agentic Web Era' by providing a standardized framework that enables agents to connect, communicate, and collaborate efficiently. ANP's architecture comprises three layers: the Identity Layer for decentralized authentication using W3C DID standards, the Meta-Protocol Layer for dynamic protocol negotiation, and the Application Layer for semantic-based capability descriptions. This structure ensures interoperability, scalability, and secure communication across diverse AI systems.

Agent Network Protocol

agent-network-protocol

An open-source protocol enabling secure, decentralized communication among AI agents.

Crawl4AI is an open-source, LLM-friendly web crawler and scraper designed to streamline web data extraction for AI agents and data pipelines. It offers features such as asynchronous crawling, structured data output in formats like JSON and Markdown, and integration capabilities with large language models. Crawl4AI supports advanced extraction strategies, including LLM-based methods, and provides tools for handling dynamic content, making it a versatile solution for developers seeking efficient and customizable web scraping solutions.

Crawl4AI

crawl4ai

An open-source, LLM-friendly web crawler and scraper optimized for AI agents and data pipelines.

QualiaInterviews is an AI-powered platform designed to facilitate conversational interviews for research and evaluation purposes. It enables users to design, test, and deploy interviews rapidly, allowing respondents to engage via text or speech in multiple languages. The platform features an Interview Advisor to assist in crafting effective interview guidelines, supports automatic respondent testing, and provides instant summaries and transcripts. With flexible pricing models and annual free credits, QualiaInterviews is tailored for researchers seeking scalable and nuanced data collection methods.

QualiaInterviews

qualiainterviews

AI-led platform for conducting multilingual, conversational interviews for research and evaluation.

Dcup is an open-source, self-hostable Retrieval-Augmented Generation (RAG) platform designed to help developers and teams build scalable, AI-powered retrieval pipelines. It enables seamless integration with data sources like Google Drive, Dropbox, and AWS, and supports advanced search capabilities including LLM re-ranking, summary indexing, and hybrid search using OpenAI embeddings and Qdrant vector storage. With its intuitive Retrieval API and modular architecture, Dcup simplifies the process of ingesting, indexing, and retrieving data, making it ideal for AI applications requiring efficient and accurate information retrieval.

Dcup

dcup

An open-source RAG-as-a-Service platform for building scalable, AI-powered retrieval pipelines.

PortableDocs is an AI-driven platform that allows users to interact with their PDF documents through natural language conversations. By uploading a PDF, users can ask questions, request summaries, and extract specific information instantly. The platform leverages advanced algorithms to understand and analyze documents with high accuracy, saving users time and enhancing productivity. It's particularly useful for navigating technical manuals, legal contracts, and academic papers.

PortableDocs

portabledocs

AI-powered platform to chat with your PDF documents, enabling instant insights and information extraction.

AI Agents for "Research" Industry