Multi-Agent Systems

AI & LLM

Design of multi-agent workflows using MCP, LangGraph and tool orchestration, decomposing complex processes into specialized agents with clear contracts, shared state and human checkpoints.

We delivered

An agent architecture specification with tool contracts, a deployed orchestration service with tracing, MCP server implementations for client systems, and a cost and reliability report under production load.

Workflow decomposition into agents with typed inputs and outputs. MCP servers exposing internal tools and data safely. LangGraph orchestration with state, retries and branching. Human-in-the-loop gates for consequential actions.

Used for research-summarize-draft-review pipelines, automated triage that routes and enriches across systems, and exposing internal APIs to AI assistants through MCP.

Built with MCP, LangGraph, the Claude Agent SDK, OpenTelemetry tracing, Redis/Postgres state and Docker.