I will build multi agent ai systems using langgraph crewai and mcp


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Looking to build intelligent AI systems that can reason, plan, collaborate, and complete tasks autonomously?
I specialize in developing advanced AI agents, multi-agent systems, and agentic workflows using modern frameworks such as LangGraph, CrewAI, MCP, LangChain, OpenAI, Claude, and Gemini.
Unlike traditional chatbots, these systems can use tools, access APIs, manage memory, perform research, execute workflows, and coordinate multiple agents to solve complex business problems.
Services Include:
- Multi-Agent Systems
- Agentic AI Workflows
- LangGraph Development
- CrewAI Development
- MCP Server Integration
- Tool Calling & Function Calling
- Memory & Context Management
- AI Workflow Orchestration
- Autonomous Task Execution
- API Integrations
- Research Agents
- Business Automation Agents
- Customer Support Agents
- Internal AI Assistants
- AI Planning & Reasoning Systems
Technologies:
- LangGraph
- CrewAI
- MCP
- LangChain
- OpenAI
- Claude
- Gemini
- Pinecone
- Qdrant
- Chroma
- PostgreSQL
- Supabase
Perfect For:
- SaaS Platforms
- Startups
- Enterprise Applications
- Research Automation
- Customer Support
- Workflow Automation
Let's build intelligent AI systems that can think, act, collaborate, and automate real business processes.
Conoce a Muhammad Subhan
I Design and Deploy AI Agents, RAG Pipelines and Agentic Workflows
- DePakistán
- Miembro desdejul 2024
Idiomas
Urdu, Inglés
Mi porfolio
FAQ
What is a multi-agent system?
A multi-agent system consists of multiple AI agents that collaborate, communicate, and complete tasks together to solve complex workflows more efficiently.
Do you build systems using LangGraph and CrewAI?
Yes. I specialize in LangGraph, CrewAI, MCP, LangChain, and modern agentic AI architectures.
Can AI agents connect to APIs and external tools?
Yes. AI agents can integrate with APIs, databases, CRMs, internal systems, and custom tools.
What is MCP (Model Context Protocol)?
MCP allows AI systems to securely connect with external tools, databases, APIs, file systems, and applications, making agents significantly more capable.
Can AI agents interact with my existing software?
Yes. Agents can integrate with CRMs, databases, APIs, Slack, Notion, Google Workspace, HubSpot, Shopify, and many other platforms.
Can the agents use memory and learn from previous interactions?
Yes. I can implement short-term and long-term memory systems to maintain context and improve agent performance.
Can you help choose the right architecture for my use case?
Yes. If you're unsure whether you need a single agent, multi-agent system, RAG pipeline, or workflow automation, I can recommend the best approach.
