RETRIEVAL / AGENTS / MCP AVAILABLE FOR SELECT AI SYSTEMS WORKINDIA / IST

AgentMesh
multi-agent orchestration.

Route the task. Coordinate the agents. Follow every handoff from the first plan to the final tool call.

02 / FOLLOW THE HANDOFFILLUSTRATIVE WORKFLOW
EVENT / 01ROUTERtask.received

Every agent has a role.
Every handoff leaves a trace.

  1. 01ROUTERtask.received←
  2. 02ARCHITECTtopology.created·
  3. 03REVIEWERschema.invalid·
  4. 04BUILDERpatch.started·
  5. 05TOOL EXECexecution.complete·

02 / THE PROBLEM

The final output hides most of a multi-agent system's behavior. When a task stalls or an agent makes the wrong move, you need to know who acted, what changed and where the work went next.

03 / SYSTEM MODEL

Router → architect → reviewer / builder → tool execution

04 / ARCHITECTURE

A multi-agent workflow needs more than an answer. It needs a trace you can follow.

LangGraph / FastAPI / WebSocket / React

05 / ENGINEERING DECISIONS

Connect the topology to execution events. Keep the handoff visible so the system can be inspected at the level where coordination actually happens.

06 / FAILURE SURFACES & TRADEOFFS

Each additional agent adds coordination overhead and another place for partial failure. More agents are useful only when their responsibilities justify the extra handoffs.

07 / RESULT & EVIDENCE

Explicit handoffs / execution state / live events.

Explore the linked project for implementation evidence. The artwork and interactive sequence illustrate the system model; they are not product screenshots, live execution results or performance measurements.

08 / TECHNOLOGY

LangGraph / FastAPI / WebSocket / React

NEXT SYSTEM / 03
ReasonFlow
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