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give you outcomes, not just content from your podcast\u002Fnewsletter subscriptions","\u003Cp>Adviserry give you outcomes, not just content. It reads newsletters and watches YouTube videos from the experts you follow, maps them to your goals, and delivers specific moves to take each week. Adviserry isn't a second brain that just stores what you remembered to capture. Adviserry brings you the moves you should be making on your projects this week, whether you captured it or not. It auto-ingests Gmail and channels, builds a searchable archive, and remembers your work to sharpen advice over time. Get proactive daily digests and alerts, chat with your archive, and even query it from Claude Desktop or ChatGPT via MCP.\u003C\u002Fp>\u003Cp>Adviserry is the only automated, cross-expert, actionable knowledge base in the world. Where others ask you to find the sources, create notes, or copy&paste text, Adviserry does the heavy lifting for you and turns your knowledge base from a dusty filing cabinet into a panel of expert advisors helping you to move forward. \u003C\u002Fp>\u003Cp>Connect your Gmail inbox, add your favorite YouTube channels, group creators into focused topic panels like Marketing, SaaS, or AI, and upload your own pitch decks, strategy docs, project briefs, market research, or business plans so answers are grounded in your actual situation. Every new newsletter and video is automatically ingested, transcribed, embedded, summarized, and made searchable, with no manual uploads or copy-pasting. \u003C\u002Fp>\u003Cp>Adviserry's MCP allows users to inject trusted expertise directly into their favorite LLM. Want the intelligence of frontier models, guided by the experience of the world's best marketers to develop your GTM plan? 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It helps preserve important context, decisions, rules, workflows, and technical knowledge across sessions, repositories, and tools.\u003C\u002Fp>\u003Cp>Instead of repeatedly rebuilding context, teams can give AI agents access to a trusted, structured knowledge base that remains available over time.\u003C\u002Fp>\u003Ch2>Key Features\u003C\u002Fh2>\u003Cp>Knownbase enables users and AI agents to:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Store project-specific rules, decisions, architecture notes, and operational knowledge\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Search and retrieve relevant context during future sessions\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Maintain continuity across repositories, developers, and AI coding tools\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Reduce repeated explanations and context loss\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Organize knowledge by project\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Update existing information as systems and requirements evolve\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Create backups of stored project knowledge\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Integrate with supported AI agents through MCP\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Knownbase is designed for practical, long-term project memory rather than temporary chat history.\u003C\u002Fp>\u003Ch2>Use Cases\u003C\u002Fh2>\u003Cp>Knownbase is useful for:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Software teams using AI coding agents across multiple sessions\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Developers maintaining project conventions, deployment procedures, and architectural decisions\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Agencies managing knowledge across multiple client projects\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Technical leads documenting implementation rules and operational constraints\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Teams onboarding new developers or AI agents\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Long-running SaaS, eCommerce, infrastructure, and DevOps projects\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Preserving debugging findings, release procedures, and production safeguards\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How It Works\u003C\u002Fh2>\u003Cp>Create a project in Knownbase, store the information your team or AI agents should retain, and connect supported tools through MCP.\u003C\u002Fp>\u003Cp>Agents can then search the project knowledge base before making changes, retrieve relevant rules during implementation, and update the stored knowledge when important decisions or workflows change.\u003C\u002Fp>\u003Cp>This creates a shared source of truth that improves consistency, reduces repeated work, and helps prevent important project context from being lost.\u003C\u002Fp>\u003Ch2>Getting Started\u003C\u002Fh2>\u003Cp>Visit \u003Ca target=\"_blank\" rel=\"noopener nofollow ugc\" href=\"https:\u002F\u002Fknownbase.dev\u002F\">https:\u002F\u002Fknownbase.dev\u002F\u003C\u002Fa> and create your account.\u003C\u002Fp>\u003Cp>Start by adding:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Project architecture and technology stack\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Coding and repository conventions\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Deployment and rollback procedures\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Business rules and technical constraints\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Important implementation decisions\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Known issues and troubleshooting notes\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Connect Knownbase to your preferred AI tools through MCP, then instruct your agents to retrieve relevant project context before starting work and update it when durable knowledge changes.\u003C\u002Fp>\u003Ch2>Pricing and Plans\u003C\u002Fh2>\u003Cp>For current pricing, usage limits, available features, and plan details, visit \u003Ca target=\"_blank\" rel=\"noopener nofollow ugc\" href=\"https:\u002F\u002Fknownbase.dev\u002F\">https:\u002F\u002Fknownbase.dev\u002F\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>Evaluate plans based on the number of projects, agents, team members, storage requirements, and expected usage across your development 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