Multi-Agent Orchestration Development Services
Your AI Agents Don't Talk to Each Other. We Fix That.
Custom multi-agent orchestration development — built to work across your existing agent stack, with no platform lock-in.
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Trusted by AI-native teams · Built on LangGraph, CrewAI, MCP, AutoGen · Vendor-neutral by design
The Problem
Most companies didn't plan to end up with 10+ disconnected AI agents — it just happened. A support bot here, a sales agent there, an internal copilot bolted onto Slack. Each one works fine alone. Together, they don't.
No shared context between agents
No handoffs — a customer repeats themselves to every new agent
Conflicting actions when two agents touch the same record
No single place to see what any agent actually did
Platform orchestrators like Watsonx Orchestrate and Agentforce solve this — but only for agents built on their own platform. If your stack is mixed (LangGraph, CrewAI, custom Python agents, a few vendor tools), no single platform unifies it. That's where we come in.
What We Build
Agent Communication Layer
An MCP-based layer that lets your agents exchange context and instructions — regardless of what framework they were built on.
Central Orchestrator Agent
A supervisor agent that routes tasks to the right specialist agent, resolves conflicts when two agents want to act on the same task, and keeps everyone working from the same shared state.
Shared Memory & Context Store
One source of truth. Every agent reads from and writes to the same context layer, so a customer or workflow never has to "start over" with a different agent.
Observability & Audit Layer
A dashboard showing exactly which agent did what, when, and why — critical for debugging and for regulated industries.
Human-in-the-Loop Escalation
Clear rules for when an agent hands off to a human, with full context preserved — no dropped threads.
Works with your existing stack: LangGraph, CrewAI, AutoGen, n8n, Watsonx, Agentforce, and custom-built agents. No rebuild required.
How It Works
Audit — We map your current agent landscape: what exists, what's isolated, where the friction is.
Design — We design the orchestration architecture: communication protocol, shared memory, routing logic, escalation rules.
Build — We build and integrate the orchestration layer against your live agents.
Deploy — We deploy with monitoring in place from day one.
Monitor — Ongoing observability, tuning, and support as agents are added or workflows change.
Where This Applies
Healthcare — Coordinate intake, clinical SOP, and admin agents without breaking compliance. [See Healthcare →]
FinTech & Insurance — Orchestrate risk, fraud, and advisory agents with full auditability. [See FinTech & Insurance →]
Retail — Connect merchandising, support, and fulfillment agents across the value chain. [See Retail →]
Tech Stack
LangGraph CrewAI AutoGen MCP n8n Watsonx Orchestrate Agentforce LangChain
Why Codersarts
We're engineers, not platform resellers. Our orchestration layer is built to fit your stack — not to migrate you onto a vendor's closed ecosystem. Backed by a decade of engineering experience and an NIT Raipur-trained team that's shipped production AI agent systems, including agent-based clinical SOP automation for hospital chains.
Pricing
Audit — Full agent landscape map + orchestration design doc. Best for teams evaluating whether orchestration is worth building.
Build — Audit + full orchestration layer build + deployment. Best for teams ready to connect existing agents now.
Build + Retainer — Build + ongoing monitoring, tuning, and new-agent onboarding. Best for teams scaling their agent ecosystem continuously.
FAQ
Do I need to rebuild my existing agents? No. The orchestration layer is built to sit alongside your existing agents — whatever framework they're on — and coordinate them through a shared communication and memory layer.
How is this different from Watsonx Orchestrate or Agentforce? Those platforms orchestrate agents built within their own ecosystem. We build a vendor-neutral orchestration layer that works across whatever mix of tools and frameworks you already have — no migration required.
What's MCP and why does it matter here? MCP (Model Context Protocol) is the standard we use to let agents built on different frameworks exchange context and instructions reliably. It's what makes vendor-neutral orchestration possible.
How long does a typical build take? Depends on the number of agents and complexity of workflows — most engagements range from 4–8 weeks after the audit phase.
Can you orchestrate agents across departments (support, sales, ops)? Yes — the orchestration layer is designed to coordinate agents across functions, not just within one team's workflow.
Ready to connect your agents?
Book a free architecture audit — we'll map your current agent landscape and show you exactly where orchestration will save the most time.
Book a Free Architecture Audit