No-Code Multi-Agent AI Platform
Build a Multi-Agent AI App Without Writing a Single Line of Code
Architect by Lyzr gives every team a visual canvas to design, orchestrate, and deploy production-grade multi-agent AI systems — in under 10 minutes, no engineering degree required.
Key Statistics
Why It Matters
Multi-agent AI systems unlock capabilities that single-agent setups simply cannot match — parallel reasoning, specialized role delegation, and complex cross-system orchestration. But building them has historically demanded deep engineering expertise. Architect eliminates that barrier entirely, putting production-grade multi-agent architecture in the hands of every product, ops, and business team.
Connects to Your Entire Stack
Architect's multi-agent apps plug directly into the tools your team already uses — no custom API wrangling required.
Platform Capabilities
Visual Agent Orchestration
Design complex multi-agent workflows on a drag-and-drop canvas. Define agent roles, communication protocols, and task handoffs without touching a line of code.
Specialized Agent Roles
Assign purpose-built roles — Planner, Researcher, Executor, Reviewer — to individual agents in your network. Each agent operates with its own instructions, tools, and memory scope.
Real-Time Agent Monitoring
Watch your multi-agent system operate in real time. Architect's live execution view shows agent states, message passing, and task progress — with full audit trails for compliance.
Enterprise Safety Guardrails
Built-in safety layers prevent agents from taking unauthorized actions. Configure role-based access, output validation, and policy enforcement rules directly in the visual builder.
Persistent Agent Memory
Agents retain context across sessions and tasks using Architect's built-in memory layer. Long-running workflows maintain state without manual re-briefing or data re-injection.
Multi-LLM Model Mixing
Assign different LLMs to different agents in the same workflow. Use GPT-4 for reasoning, Claude for writing, and Mistral for classification — all orchestrated from one canvas.
How It Works
Before vs. After Architect
- Weeks of engineering time to build even a basic multi-agent prototype
- High engineering costs with no guarantee of production stability
- Non-technical teams completely locked out of agent configuration
- No visibility into agent execution — debugging is slow and manual
- Safety and compliance guardrails require additional custom engineering
- Production multi-agent app live in under 10 minutes on the visual canvas
- 70% lower cost — no specialized AI engineering team required
- Any team member can design, modify, and deploy agents independently
- Live execution monitoring with full audit logs and agent state visibility
- Safety guardrails and access controls configured in the visual builder
Sample Agent System Prompt
Here is a realistic system prompt you would configure inside Architect when building a multi-agent research and synthesis app.
ROLE: You are the Orchestrator Agent in a multi-agent research and synthesis pipeline. RESPONSIBILITIES: - Receive the user's research topic and decompose it into discrete sub-tasks. - Delegate sub-tasks to the appropriate specialist agents: Researcher, Analyst, Writer. - Collect and validate outputs from each specialist agent before aggregation. - Ensure no agent exceeds its defined scope or takes unauthorized actions. HANDOFF PROTOCOL: - Pass structured task briefs to each specialist agent with clear success criteria. - If an agent returns incomplete output, re-brief with additional context once. - Aggregate validated outputs into a final structured report for the user. CONSTRAINTS: - Do not access external systems outside of the approved integration list. - Escalate ambiguous or high-risk decisions to the human reviewer queue. - Maintain full audit log of all agent-to-agent communications.
Frequently Asked Questions
Can I really build a multi-agent AI app without any code?
Yes. Architect by Lyzr provides a fully visual, no-code interface to design agent roles, define orchestration logic, connect integrations, and deploy production multi-agent apps — all without writing a single line of code.
How long does it take to set up a multi-agent system on Architect?
Most teams configure and deploy a working multi-agent AI app in under 10 minutes using Architect's visual builder and pre-built integration connectors. Complex enterprise setups typically go live within an hour.
What integrations does Architect support for multi-agent apps?
Architect connects natively with Slack, Salesforce, HubSpot, Notion, Google Workspace, Jira, Snowflake, PostgreSQL, OpenAI, Anthropic, Mistral, and many more enterprise tools — all via pre-built connectors requiring no custom API work.
Is Architect suitable for enterprise-grade multi-agent deployments?
Yes. Architect includes enterprise controls such as role-based access, audit logging, agent memory management, safety guardrails, and SOC 2-aligned infrastructure — making it production-ready for regulated industries.
What LLMs can I use with Architect's multi-agent platform?
Architect supports OpenAI GPT-4, Anthropic Claude, Google Gemini, Mistral, and other leading LLMs. You can mix and match models across different agents in the same workflow to optimize for cost, speed, and quality.
Ready to Build Your Multi-Agent AI App?
Join teams shipping production-grade multi-agent AI systems in under 10 minutes — without writing a single line of code.