Overview Knownbase is a durable project-memory platform for AI agents and development teams. It helps preserve important context, decisions, rules, workflows, and technical knowledge across sessions, repositories, and tools. Instead of repeatedly rebuilding context, teams can give AI agents access to a trusted, structured knowledge base that remains available over time. Key Features Knownbase enables users and AI agents to: Store project-specific rules, decisions, architecture notes, and operational knowledge Search and retrieve relevant context during future sessions Maintain continuity across repositories, developers, and AI coding tools Reduce repeated explanations and context loss Organize knowledge by project Update existing information as systems and requirements evolve Create backups of stored project knowledge Integrate with supported AI agents through MCP Knownbase is designed for practical, long-term project memory rather than temporary chat history. Use Cases Knownbase is useful for: Software teams using AI coding agents across multiple sessions Developers maintaining project conventions, deployment procedures, and architectural decisions Agencies managing knowledge across multiple client projects Technical leads documenting implementation rules and operational constraints Teams onboarding new developers or AI agents Long-running SaaS, eCommerce, infrastructure, and DevOps projects Preserving debugging findings, release procedures, and production safeguards How It Works Create a project in Knownbase, store the information your team or AI agents should retain, and connect supported tools through MCP. 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. This creates a shared source of truth that improves consistency, reduces repeated work, and helps prevent important project context from being lost. Getting Started Visit https://knownbase.dev/ and create your account. Start by adding: Project architecture and technology stack Coding and repository conventions Deployment and rollback procedures Business rules and technical constraints Important implementation decisions Known issues and troubleshooting notes 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. Pricing and Plans For current pricing, usage limits, available features, and plan details, visit https://knownbase.dev/. Evaluate plans based on the number of projects, agents, team members, storage requirements, and expected usage across your development workflows.
