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

Closed-Source 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.

Google Antigravity is an AI-powered, agent-first development platform and IDE from Google, released alongside the Gemini 3 model family. Built as a fork of Visual Studio Code, it lets developers delegate complex software tasks to autonomous agents that can plan, code, test, and debug across an integrated editor, terminal, and browser. Antigravity’s Agent Manager view orchestrates multiple agents in parallel workspaces, while the Artifacts system surfaces verifiable plans, patches, logs, and screenshots so developers can inspect how work was done. The platform supports multiple models, including Gemini 3 Pro and other leading AI models, and is available as a free preview with generous usage limits on Windows, macOS, and Linux.

Google Antigravity

google-antigravity

Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

Kosmos is an autonomous AI scientist that automates data-driven discovery across domains like neuroscience, metabolomics, materials science, and genetics. Given an open-ended research objective and one or more datasets, Kosmos runs long research campaigns of up to ~12 hours, iterating between data analysis, literature search, and hypothesis generation. It uses a structured world model to coordinate agents and maintain coherence over hundreds of rollouts, typically executing tens of thousands of lines of code and reading around 1,500 papers per run before synthesizing a fully cited scientific report whose statements are traceable to code cells or primary literature. Independent scientists have estimated that a 20-cycle Kosmos run can compress roughly six months of PhD-level work into a single day, with most statements judged accurate and reproducible. Researchers can access Kosmos via the Edison Scientific platform with a credit-based pricing model, while an open-source implementation on GitHub allows teams to self-host and extend the system using multiple model providers.

Kosmos

kosmos

Autonomous AI scientist for long research campaigns that analyzes data and literature to produce fully cited scientific reports.

AlphaSense is a market intelligence and search platform that leverages AI agents—including Generative Search, Deep Research, and Agent Interviewer—to autonomously source, analyze, and synthesize insights from over 500 million business documents and investor interview transcripts, accelerating decision-ready research workflows.

AlphaSense

alphasense

An AI-powered market intelligence platform that autonomously sources expert insights and delivers analyst-level research at scale.

The Unitree R1 is a lightweight (~25 kg), ultra‑affordable humanoid robot (~1.2 m tall) designed for research, education, and early agentic experimentation. It features 26 degrees of freedom for flexible mobility—running, cartwheels, and spin‑kicks—and includes binocular cameras, a 4‑mic array, speaker, 8‑core CPU/GPU, and LLM‑based voice and visual intelligence. While hands are not standard (optional in EDU version), the R1 is fully customizable and serves as a low‑cost introduction to embodied AI agents.

Unitree R1

unitree-r1

Ultra‑lightweight humanoid robot with 26 joints, multimodal AI, priced for research and education.

Amazon SageMaker Studio Lab is a free, browser‑based machine learning development environment powered by open‑source JupyterLab. It gives users access to T3.xlarge CPU and G4dn.xlarge GPU runtimes (with session and daily limits), along with 15 GB of persistent storage, Git integration, preinstalled ML frameworks, and the SageMaker Distribution environment for easy migration to SageMaker Studio. No AWS account or credit card is required. Ideal for students, educators, and developers looking to learn, prototype, or teach ML workflows without setup overhead.

Amazon SageMaker Studio Lab

amazon-sagemaker-studio-lab

Free browser‑based JupyterLab environment for ML experiments with CPU/GPU and persistent storage.

Amazon Bedrock AgentCore is a modular suite of AWS services providing secure, scalable deployment and operations for AI agents. It offers Runtime for serverless agent execution with session isolation and long-running support, Memory for context-aware agents, Identity for secure access, Gateway to convert APIs into agent-ready tools, Browser for managed web automation, Code Interpreter for sandboxed code execution, and Observability for tracing and debugging workflows. AgentCore supports any open-source framework and any foundation model, inside or outside Bedrock, enabling developers to accelerate agents into production with enterprise-grade flexibility, security, and monitoring.

Amazon Bedrock AgentCore

amazon-bedrock-agentcore

Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.

Kiro is an agentic Integrated Development Environment from AWS that transforms user prompts into structured specs, designs, and tasks. It integrates multimodal input, agent hooks for automation, MCP tool access, real-time code diffs, and supports local/cloud execution to help developers move from prototype to production.

Kiro AI IDE

kiro-ai-ide

Agentic AI IDE by AWS for spec-driven coding, multimodal chat, and automated agent hooks.

ChatGPT Agent is OpenAI’s built‑in autonomous agent that can perform web browsing, form filling, code execution, file generation (e.g., PowerPoint, Excel), and API interactions via a “virtual computer.” It combines earlier tools like Operator and Deep Research to manage complex tasks end‑to‑end, asking for user approval before irreversible actions and enforcing safeguards like watch mode and restricted access. It is available to Pro, Plus, and Team users, with rollout to Enterprise and Education tiers planned later in summer 2025.

ChatGPT Agent

chatgpt-agent

An autonomous AI tool within ChatGPT that executes complex, multi‑step digital tasks using a virtual computer.

Perplexity Labs is an AI-powered project engine available to Pro subscribers. It handles complex tasks—like research, code execution, chart/image generation, dashboards, and mini web apps—by performing self‑supervised workflows (~10 min) that combine deep browsing, code, and assets tailored to user prompts.

Perplexity Labs

perplexity-labs

A productivity engine that builds full projects—reports, dashboards, code, mini‑apps—through AI‑powered autonomous workflows.

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.

Closed-Source AI Agents for "Research" Industry