Multi-Agent System Development
A multi-agent system uses several specialised AI agents that work together, for example one plans, one researches, one acts and one checks the result. We design and build multi-agent systems for complex, multi-step workflows that a single agent can't handle reliably.
More agents add power but also cost and complexity, so we only use multiple agents when the task truly needs them. Each agent gets a narrow role, and an orchestrator controls the flow, with full traces so you can see who did what.
What we offer
- Architecture designChoosing roles, hand-offs and when a single agent is enough.
- OrchestrationControlled workflows with retries, timeouts and fallbacks.
- Shared memoryAgents share context safely without leaking data.
- Review agentsChecker agents that verify outputs before actions are taken.
- TracingStep-by-step logs of every agent's decisions.
Common use cases
- Research and report generation across many sources
- Tender or RFP response preparation
- Complex customer cases needing several systems
- Software QA with test-writing and review agents
Technology
- LangGraph
- CrewAI
- AutoGen
- OpenAI / Claude / Gemini
- MCP
- Python
When multi-agent systems help
- Tasks that need several specialist skills, such as research, analysis and writing
- Long processes with many steps, checks and hand-offs
- Work that benefits from one agent reviewing another
- Processes that must scale to many parallel requests
Why work with Webtech Evolution
- 10+ years of delivery272+ projects for 118+ clients in 12+ countries since 2014.
- One team, end to enddesign, front end, back end, mobile, QA and DevOps under one roof, so nothing gets lost between vendors.
- Clear estimatesa written scope, timeline and price before work starts, and demos throughout the build.
- You own everythingcode, designs and documentation are handed over in full and covered by an NDA.
- Working hours that overlap with yoursMonday to Friday, 10:00–19:00 IST, with extended hours available for clients in the USA, Canada and New Zealand.
How we deliver
Discovery
agree the goal, users, data and how success will be measured.
Prototype
a working version on real examples within the first weeks.
Build and integrate
connect to your systems, add security, testing and monitoring.
Pilot
launch to a small group, measure results and improve.
Scale and support
roll out widely, with ongoing monitoring and updates.
Need people rather than a project? Hire AI developers.
Frequently asked questions
When a task has distinct stages that need different instructions or tools, such as research, writing and review. For simpler tasks, one well-designed agent is cheaper and easier to maintain.
They use more AI calls than a single agent. We control cost with smaller models for simple roles, caching and limits on steps.
Yes. We record a full trace of each run, including which agent did what and why.
Several AI agents, each with a specific role and tools, working together under a coordinator to complete complex tasks.
Often it is, and we start simple. Multiple agents help when a task is long, needs different expertise or benefits from checks between steps.
LangGraph, CrewAI, AutoGen, the OpenAI Agents SDK and the Claude Agent SDK, or custom orchestration where needed.
Let's Talk!
Have a question about Multi-Agent System Development? Send us a message and our team will reply with next steps.
- Reply within a few hours (Mon–Fri)
- NDA available
- You own the code
Prefer to talk? Call +91-9601965456WhatsApp ushello@webtech-evolution.com
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