Hosted Agents in Cluing

Product Introduction

1. Definition: Cluing Hosted Agents is a cloud-based, collaborative AI agent infrastructure platform. It technically functions as a "knowledge layer" that allows teams to deploy, manage, and collaborate on persistent AI agents that can execute tasks, access shared context, and integrate with external tools via APIs or MCP (Model Context Protocol).
2. Core Value Proposition: It exists to solve the collaboration and infrastructure gap in AI agentic workflows. The platform enables teams to move AI agents from isolated, individual environments (like a developer's laptop) into a secure, shared workspace where context, skills, and tasks are persistent and accessible to both humans and AI, thereby operationalizing AI agents as a team asset.

Main Features

1. Fully Hosted Agent Infrastructure: Agents, including custom Claude Code and other AI models, run on Cluing's secure cloud infrastructure, eliminating local setup and maintenance. How it works: Users define agent logic and skills within the Cluing platform; the system provisions and manages the backend compute, ensuring agents are always-on and accessible from any device. This includes one-click publishing of agent outputs (dashboards, apps) to custom domains with automatic HTTPS certification.
2. Collaborative Knowledge & Skill Sharing: The platform centralizes "living context" — insights captured from webpages, PDFs, videos, and social posts — which is dynamically shared across the team and accessible to all agents. How it works: Users capture snippets via browser extensions or mobile apps, which are stored in shared "Clusters." Agents can be assigned dynamic skills (like "Weekly Report Writer") that run against this constantly updated, shared context. Team roles and encrypted secrets for connectors (e.g., Google Analytics API) are managed centrally.
3. Universal Capture & Context Builder: A core enabling feature that allows instant capture of information from virtually any digital source (YouTube, Reddit, PDF, LinkedIn, X, emails, Kindle highlights). How it works: Browser extensions and mobile apps let users highlight text or save media with one click. The captured data is automatically tagged with source metadata and user notes, building a structured, searchable knowledge base that feeds the shared context for both human team members and hosted AI agents.

Problems Solved

1. Pain Point: Agent Fragmentation and Context Loss. Traditional AI agents run in silos on individual machines, making it impossible to hand off tasks, share learned context, or maintain persistent workflows when a laptop closes. This kills collaboration and operational scalability.
2. Target Audience: Cross-functional product/engineering teams building AI features; cybersecurity analysts conducting threat research; content marketing teams managing research and production; consultants and legal professionals aggregating client data; startup founders and product managers coordinating competitive intelligence.
3. Use Cases: A product team can deploy a hosted agent to monitor competitor updates, automatically drafting weekly briefs from the shared research cluster. A security analyst can have an agent run continuous vulnerability scans, with findings saved to a team-wide context for investigation. A marketing team can capture campaign insights from social media directly into a shared space, where an agent uses that context to generate performance reports.

Unique Advantages

1. Differentiation: Unlike single-user AI agent frameworks (e.g., AutoGen, CrewAI run locally) or generic collaboration tools (Notion, Slack), Cluing uniquely combines persistent, hosted AI agents with a deeply integrated, collaborative knowledge base. It's not just an agent platform or a note-taking app; it's a unified system where the agents and the team work from the same constantly updated "brain."
2. Key Innovation: The "living context" model. The platform's core innovation is treating captured knowledge not as static documents but as a dynamic, queryable data layer that is seamlessly accessible to both human collaborators and autonomous agents. This, combined with skill-sharing between agents and role-based access controls, creates a truly collaborative AI workforce.

Frequently Asked Questions (FAQ)

1. What are Hosted Agents in Cluing? Hosted Agents in Cluing are AI-powered workflows that run on Cluing's cloud infrastructure, not your local computer. They can perform tasks autonomously, access your team's shared knowledge base, and integrate with external tools, remaining active and collaborative 24/7.
2. How does Cluing ensure the security of data for Hosted Agents? Cluing is ISO/IEC 27001:2022 certified, employing enterprise-grade security. Data is encrypted in transit and at rest. Connector secrets (like API keys) are stored with encryption, and the platform offers role-based access controls to manage what data and agents each team member can access.
3. Can I connect Cluing Hosted Agents to my own tools and databases? Yes, Cluing Hosted Agents support custom connectors to any external tool with an API. Additionally, they support the Model Context Protocol (MCP), allowing for standardized, secure connections to a wide array of data sources and services to retrieve context and perform actions.
4. What happens to my Hosted Agents if I stop using Cluing? Upon account termination, your data and agent configurations are subject to Cluing's data retention and deletion policies as outlined in their Terms of Service. It is recommended to export any critical knowledge data and agent logic prior to cancellation.
5. Is coding knowledge required to build a Hosted Agent in Cluing? While advanced customization (like using Claude Code) requires technical skill, Cluing is designed to enable users to create and manage agents through higher-level configurations, skill definitions, and natural language prompts, making basic agentic workflows accessible to non-developers.