{"id":"multimodal-agents-course","name":"Kubrick Multimodal Agents Course","homepage":"https://github.com/the-ai-merge/multimodal-agents-course","repo_url":"https://github.com/the-ai-merge/multimodal-agents-course","category":"education","subcategories":["ai-agents","multimodal","mcp"],"tags":["course","education","multimodal","mcp","fastmcp","groq","agents","video-search","open-source"],"what_it_does":"An open-source educational course and codebase teaching developers how to build production-ready multimodal AI agents that process images, video, audio, and text via a unified MCP server built with FastMCP, Groq LLMs, and Pixeltable memory.","use_cases":["Learning how to architect and build multimodal MCP servers from scratch","Understanding agentic memory with Pixeltable for stateful AI applications","Building video intelligence applications with search exposed via MCP tools","Implementing LLMOps observability with Opik for agent tracing","Hands-on practice with FastMCP, Groq, and OpenAI integrations"],"not_for":["Production deployments — this is a learning resource, not a production-ready service","Teams looking for a ready-to-use MCP server (requires significant setup and customization)","Beginners with no prior Python or AI agent experience"],"best_when":"When you want a structured, hands-on curriculum for building multimodal AI agents and understanding MCP server implementation patterns.","avoid_when":"When you need a production MCP server you can deploy immediately without modification or learning overhead.","alternatives":["anthropic-cookbook","langchain-academy","huggingface-agents-course"],"af_score":54.8,"security_score":45.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"latest","last_evaluated":"2026-03-01T09:50:05.972991+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}