
A Hands-On Guide to Building Multi-Agent Systems Using n8n
n8n is an open-source, low-code workflow automation platform that enables seamless integrations between applications using a visual, node-based system.
n8n is an open-source, low-code workflow automation platform that enables seamless integrations between applications using a visual, node-based system.
DAPO is an open-source RL framework that enhances LLM reasoning efficiency, achieving top-tier AIME 2024 performance with half the training steps.
SmolDocling, a 256M VLM, enables efficient document conversion using DocTags to preserve structure while reducing computation.
Chain of Draft (CoD) optimizes LLM efficiency by reducing verbosity while maintaining accuracy. It cuts token usage, lowers costs, and speeds up inference for real-world AI applications.
DeepSeek’s MLA reduces KV cache memory via low-rank compression and decoupled positional encoding, enabling efficient long-context processing.
OpenAI’s Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
Portkey enables observability and tracing in multi-modal, multi-agent systems for enhanced understanding and development.
PydanticAI Agents leverage Pydantic’s validation to build reliable, type-safe AI decision-making systems.
Nexus is a lightweight Python framework for building scalable, reusable LLM-based multi-agent systems.