Multi-Agent Systems
Interconnected AI agents working in coordination to solve complex, large-scale operational challenges.
When One Agent Is Not Enough
Some business problems are too large, too complex, or too multi-faceted for a single AI agent to handle effectively. Multi-agent systems address this by deploying multiple specialised AI agents that collaborate, delegate tasks, share information, and check each other's work — much like a team of human specialists coordinating on a complex project.
Angelix Solution designs multi-agent systems for organisations that need AI to operate at scale across interconnected workflows, departments, or data streams.
What Multi-Agent Systems Enable
- Parallel task execution that dramatically reduces time for complex workflows
- Division of complex goals into manageable, independently verifiable subtasks
- Specialisation without siloing — agents share context continuously
- Resilience — if one agent fails a subtask, the orchestrator can reassign or retry
- Scalability — add new specialist agents as new workflow requirements emerge
Architecture of a Multi-Agent System
- Orchestrator Agent — Receives the high-level goal and coordinates other agents.
- Specialist Agents — Each handles a specific sub-task (research, writing, data retrieval, code generation, quality review, etc.).
- Shared Memory / Context — A shared state layer that allows agents to communicate findings and avoid duplicating effort.
- Tool Layer — APIs, databases, web search, and file systems that agents can access to complete their tasks.
- Human-in-the-Loop Controls — Approval gates and intervention points where human review is required before critical actions proceed.
Development Process
Discovery & Requirement Analysis
We begin by understanding your business objectives, user needs, and technical constraints through structured workshops and interviews.
Architecture & Planning
Our architects design the system structure, select the appropriate technology stack, and produce a detailed project roadmap.
UI/UX Design
Our designers create wireframes, prototypes, and high-fidelity designs that align with your brand and prioritise user experience.
Agile Development
Development proceeds in focused sprints with regular builds and client reviews, ensuring full visibility and control.
Quality Assurance
Rigorous testing across functional, performance, security, and compatibility dimensions before any release.
Deployment & Launch
We manage the deployment process on your chosen infrastructure and ensure a smooth, stable launch.
Support & Maintenance
Ongoing monitoring, updates, and enhancements to keep your product performing at its best.
Technologies Used
- Frameworks: LangGraph, AutoGen, CrewAI
- LLMs: OpenAI, Claude, Gemini, Llama
- Vector Memory: Pinecone, ChromaDB
- Orchestration Infrastructure: Python, FastAPI, message queues
- Cloud: AWS, Google Cloud