Browse Agent

AI-powered web automation with intelligent navigation, task automation, and seamless browser control.

Browse Agent — a browser-integrated, context-aware, productivity-focused side-panel assistant Browse Agent is a side-panel assistant integrated into the browser that focuses on productivity and context awareness. It is designed to research the web, summarize content, organize findings, and let you easily document and archive results. By directly analyzing the content and structure of the active browser tab, it bundles one-click PDF export and semi-automated task execution into a single, streamlined interface. Speed, clarity, and security are prioritized in the design so users can reach work outcomes quickly without being overwhelmed by unnecessary options. Core purpose The single purpose of Browse Agent is to help you achieve results faster, with less effort and greater safety when working in your browser. To that end, it offers a focused side-panel experience, centralized management of multiple language models, and reusable templates/automations for recurring research tasks. The tool interprets page contextually and presents options for both quick summaries and deep analyses. Target audience Browse Agent is useful across roles and needs: * Students and academics: quickly summarize long papers, gather bibliography items, compile lecture notes, and export results to PDF. * Product and marketing teams: analyze competitor pages, evaluate landing pages, and generate concise briefing notes. * Researchers and analysts: run targeted scans, extract findings as lists, and build repeatable workflows. * Freelancers and professionals: review client sites and produce checklists, requirement briefs, or prepared form content. This variety makes the tool suitable for both individual research and team/enterprise reporting workflows. Multi-agent architecture Five coordinated agents extend Browse Agent’s capabilities in a modular way: * ThinkCore — Orchestrator: Plans and prioritizes tasks, applies resilient execution strategies, and coordinates between agents. * WebPilot — Web Interactor: Performs form filling, button clicks, scrolling and other DOM interactions on dynamic pages using human-like timing and steps. * ResultCheck — Quality & Verification: Validates outputs, detects inconsistencies, assigns reliability scores, and triggers corrective or iterative steps when needed. * ChatMode — LLM Interface: Interacts directly with language models to answer questions, generate content, and make intelligent suggestions. * DeepResearch — Deep Scanning & Comparison (coming soon): Performs broad source searches, cross-checks, evaluates source reliability, and enriches data. Other notable features 1. Side-panel integration
A one-click side panel opened from the browser toolbar preserves the active tab’s title, URL, and visible content structure to produce context-aware outputs. You can work without leaving the current page, reducing distractions and staying focused on results. 2. Multi-model support
Add API keys from multiple providers (OpenAI, Anthropic, Google, etc.) and switch models per project. Support for local or private models provides flexibility for enterprise data-security requirements. Use model management to choose models optimized for creative work or for accuracy-focused tasks. 3. Context awareness and structural analysis
The tool detects whether the page is a long article, a product listing, or a form and generates more relevant, targeted summaries, checklists, or task steps. A visible-content highlighting mode guides users to important sections and reduces distraction. 4. Chat and task flows
Start from a free-text chat to define goals and outputs—for example, “Summarize this page in 8 bullet points and add 3 recommendations.” For complex workflows you can build step-by-step automations and reusable templates. 5. Favorite prompts and replay
Save your most successful prompts, categorize them, and reapply them with one click. Sessions are stored so you can “replay” previously successful sequences (feature coming soon), which is especially useful for standardized research or reporting. 6. PDF export
For long reports or analyses a PDF button appears for single-click export. The tool generates a clean, browser-optimized PDF in a new tab or via download—ideal for sharing, archiving, and official reporting. 7. Firewall rules
Define allowlists and denylists to control which domains are analyzed and which are blocked. This is critical for enterprise privacy and compliance: the assistant will only become active on approved domains, and automatic data transfer from sensitive areas is prevented. 8. Personal settings and performance optimization
Configure preferences from general appearance to model settings, highlighting behavior, and dark mode. For long content you can adjust wait times to manage latency and use performance options such as “view-area expansion” to improve responsiveness. Detailed functionality and example use cases * Academic research: Break down long academic papers into section-by-section summaries, extract key findings with source citations, compile bibliographies in the desired citation style, and export polished PDF reports. * Marketing and competitive analysis: Extract content, CTAs, pricing, and UX patterns from competitor pages, produce comparative summaries, and generate short briefing notes with actionable recommendations. * Rapid audits and QA: Produce step-by-step user-flow breakdowns, auto-generate checklists for similar pages, and export QA reports for test documentation—speeding up quality-assurance cycles and improving consistency. How to install and use — step by step 1. Install the extension from the Chrome Web Store. 2. Click the toolbar icon to open the side panel. 3. During initial setup, add API keys under the Models tab (optional: multiple providers). 4. Configure appearance and behavior in the General tab. 5. Set domain allow/deny lists in the Firewall tab. 6. Enter your instruction in the chat area (for example: “Summarize this page in 6 bullet points and add 3 recommendations under ‘Suggestions’”). 7. For long outputs, use the PDF button to export with a single click. 8. Save successful prompts to your favorites to build a personal prompt library; use the upcoming replay feature to rerun saved workflows. Privacy, data usage, and local storage Privacy principles are explicit: user data is not sold for marketing; content sent to LLM providers is processed only at the user’s request and is subject to each provider’s terms of service. Settings, favorites, and history are stored in browser storage so the user retains control. Firewall rules let organizations restrict which domains may be analyzed. The tool also reports which model is used for each call, estimated call cost, and potential privacy impacts so users can make informed choices. Permissions and technical requirements The extension requests the following permissions: storage, sidePanel, activeTab, tabs, scripting, host_permissions, and unlimitedStorage. These permissions are required so the extension can accurately read page context, analyze content, and produce PDF exports without interruption. Centralized policy management and permission controls are supported for enterprise deployments. Frequently asked questions * Is it free? The basic experience is free; advanced features and model usage may depend on plans or on the API keys you provide. * Can I use my own API key? Yes — add multiple providers’ API keys via the Models tab. * What if PDF export fails? Check your popup blocker; if a new tab cannot open, the tool will fall back to an automatic download flow. Troubleshooting and tips * If other extensions conflict, try a clean browser profile. * If model responses are slow, switch to an alternative provider key. * For long pages, enable the “view-area expansion” option or increase wait times to improve extraction quality. * For high-privacy tasks, restrict the Firewall to trusted domains only. * Pop-up blockers and browser permissions can affect the PDF export flow—verify browser settings if export doesn’t work. Roadmap and future plans * More built-in output templates (reports, checklists, technical summaries). * Advanced sharing and collaboration workflows, with project-level profiles. * Expanded local-model support and enterprise integrations. * Analytics dashboards for usage metrics and automation insights. * Community-driven prompt libraries and sector-specific templates. Deep technical and operational notes Browse Agent runs a lightweight client-side core that performs content extraction, DOM parsing, and preprocessing in the browser to keep sensitive data local. This minimizes the data sent outside the client and preserves privacy. The architecture is optimized to let the agent do initial processing locally and only forward user-approved content to external models when required. Advanced usage example For competitive analysis or reproducible research you can run standardized checks across multiple pages and export unified reports. Example prompt: “Summarize this page in 6 items, assign a reliability score of 1–5 to each item, and add three action recommendations.” Security and transparency The tool adheres to a security-first approach: users can see which data is sent to which model, get cost estimates for calls, and manage what is stored locally in the browser. Firewall rules and domain controls reduce organizational risk and ensure compliance. Support Comprehensive documentation, example prompts, and a community forum are available. For enterprise customers, dedicated onboarding, integration assistance, and 24/7 support are provided.