A fully connected node topology, where every agent node connects to every other, maximizes communication but scales poorly as complexity increases.

In swarm architectures, embedding subagents within the main swarm creates a hierarchical design that enables modular and scalable agent behaviors.

Implementing a supervisor pattern where a supervisor agent orchestrates specialized agents (e.g., research agents) helps organize and manage complex a...Show more

Swarm architecture enables each agent to access and communicate with every other agent, supporting flexible, dynamic interactions within a multi-agent...Show more

Open Agent Platform ties all data and performance metrics to individual threads and user accounts to ensure granular accountability and reproducibilit...Show more

Langsmith provides interfaces for managing and visually displaying agents within the platform, facilitating easier troubleshooting and oversight of ag...Show more

The system delegates tasks to specialized agents like the Deep Wiki Agent using tools such as the Read Wiki Structure Tool to streamline complex workf...Show more

The Open Agent Platform orchestrates interactions by connecting MCP servers as the main interface and orchestration layer for agents.

While default agent behaviors work out-of-the-box, tuning prompts through prompt engineering remains crucial for effective results.

LangChain Studio allows developers to interact with and manage detailed complex agent graphs, streamlining intricate workflows and dependencies.

Use system prompts to interact with agents and enable them to call other tool-based agents, creating a modular agent architecture.

Set up a 'build supervisor' agent by uploading documentation to oversee and manage the build process through automated tooling.

Use the OAP interface’s tool browser to click on each tool for its call name and description or run tests directly within the UI to accelerate discove...Show more

Build a RAG system by following structured steps: chunking and splitting data, vectorizing, storing embeddings, using out‐of‐the‐box templates, deploy...Show more

Two LangChain projects may not reference each other in documentation but are closely connected in functionality, suggesting a pattern for mapping inte...Show more

The LangChain Open Agent Platform enables developers to rapidly prototype and build proof-of-concept AI agents by integrating open source packages wit...Show more

Implement a demo-driven workflow by querying the feature card, developing the functionality, recording a demo, and sharing it in a dedicated demos cha...Show more

Start by building a Retrieval-Augmented Generation (RAG) agent to interact seamlessly with vault data, enabling contextual querying and real-time insi...Show more

Leverage and expose the ‘eight-way layer’ in your architecture to unlock advanced capabilities for agent orchestration.

Use template-based samples from the HOA repository to rapidly prototype and integrate unique video-generation workflows.