Relevance AI is a platform for building and running AI agents and multi-agent teams (an AI workforce) to complete tasks. It includes tools that agents can use, and workflows to guide how agents take actions in sequence.
Relevance AI is a platform for building and running an "AI workforce" made up of AI agents and multi-agent teams that can complete tasks.
Instead of coding everything from scratch, you configure agents and connect them to tools/workflows so they can take steps, pass information, and produce outputs in a structured way.
In practice, teams use Relevance AI to create AI agent workflows where agents follow a process (often using tools and integrations) to complete repeatable business tasks more reliably than a one-off chat prompt.
Relevance AI is best suited for advanced users, builders, and teams who want to design and run AI agents (including multi-agent teams) as a structured system, and who value having platform features plus developer docs/SDK support for deeper implementations.
You create and run an "AI workforce" by defining agents (and teams) and configuring how work is executed through the platform.
Agents can be set up to complete tasks, and teams can be structured as multi-agent systems where responsibilities are split and coordinated.
Agents can use tools/workflows (and integrations where configured) to move information through a task process and produce outputs.
Relevance AI is designed around AI agents and multi-agent teams (AI workforce-style). n8n is primarily a workflow automation/orchestration tool; both can support AI agent workflows, but they're built for different core use cases.
Learn more about n8nRelevance AI is a hosted platform for building/running agents and teams; LangChain is a developer framework that typically requires coding to assemble and run agent systems.
Learn more about LangChainLast updated: December 2025
AI Agent Builder · Workflow Automation Tool