# Office Hour #10: Kimi K2 1 TRILLION Parameter Open Model + n8n Agent & Multi-Agent Progress Published July 15th, 2025. This historical recap summarizes product updates, demos, and builder-facing improvements from the session. ## Recording {% embed url="" %} ### Kimi k2 Model Integration * First open-source 1 TRILLION parameter model now available in AgenticFlow * Performance on par with Claude Opus at 20X lower cost * Excellent for software development tasks * Available via Pixel ML Open Router ### n8n Agent Preview * Create complex n8n workflows from natural language descriptions * Seamless integration between AgenticFlow and n8n instances * Extends agent capabilities with n8n's extensive node library ### Built-in Database * Store workflow outputs directly in AgenticFlow * No more dependency on external services like Google Sheets or Airtable * Native data storage solution ### Bulk Run Capabilities * Execute workflows 100+ times with table-based inputs * Parallel processing support ### Workflow Sharing * Share workflows via secure URLs * View-only permissions for collaboration ### Multi-Agent System Work * Conditional branching and advanced task management added ### Developer Ecosystem * Create MCP servers for popular tools (2000+ APIs available) * Community-driven ecosystem expansion ## Support For reproducible product issues, email with workspace context, affected agent/workflow/template details, screenshots or screen recording, and steps to reproduce. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.agenticflow.ai/changelog/office-hour-10-kimi-k2-1-trillion-parameter-open-model-n8n-agent-multi-agent-progress.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.