I will build multi ai agent system with langgraph crew ai e2b lindy ai blandai and n8n

Lindy AI uses LLM reasoning to make contextual decisions mid-workflow, it doesn't just trigger actions, it understands intent. n8n handles deterministic logic and API routing. I combine both so Lindy handles the intelligence layer while n8n manages the execution and data pipeline layer underneath.

I configure different models per agent role using OpenAI, Anthropic Claude, Google Gemini or Mistral via OpenRouter. Research agents typically run on more capable models while execution agents run on faster cheaper models, balancing performance and token cost across the full agentic ai pipeline.

I configure agents with defined roles, goals and backstories using CrewAI's sequential or hierarchical process. For most builds I default to hierarchical so a manager agent delegates tasks to specialized worker agents giving you structured, auditable execution with minimal hallucination risk.

Yes. I expose CrewAI agents as API endpoints or webhooks that n8n and Make com can trigger natively. This means your existing workflow automation stack stays intact while CrewAI handles the agentic reasoning layer, no full rebuild required.

I build RAG pipelines using LangChain with vector databases like Pinecone or Chroma. The retrieval tool is assigned to the relevant CrewAI agent so it queries your knowledge base before responding. For Lindy AI I connect document stores via API integration so agents answer from your actual business

When a task fails, the agent reads the error, adjusts its own approach, and retries automatically, instead of stopping and waiting for a human every time.

PostgreSQL with SQLAlchemy for full control, or Supabase when you want a managed Postgres backend with less setup work.

Wherever you need it: Railway, Render, AWS, or your own VPS (including Hetzner), with CI/CD through GitHub Actions.

Yes. I design the orchestration layer to be modular from day one, so adding new agents later is mostly configuration, not a rebuild.

Yes. I build a FastAPI or Node.js backend that connects to any frontend through REST API or WebSockets for real-time updates.