Project Overview We're building a SAAS AI assistant platform similar to Lindy.ai. The platform will enable users to create custom AI agents that connect to their business apps (Gmail, Slack, CRM, etc.) to automate workflows and tasks through natural language commands. For the API, we can use embedded IPAAS vendors or open sourced. Building AI employees. I am seeking for a developer who is street smart in getting this product up in a short period. I will be paying the developer. If the developer's price is reasonable, we can talk equity and joining in as a cofounder. Core Technical Requirements 1. AI Agent Logic & Reasoning Engine Build a sophisticated AI agent capable of multi-step reasoning and task execution Implement LLM orchestration using frameworks like LangChain or LlamaIndex Create planning capabilities where the AI can break down complex requests into actionable steps Develop context management and conversational memory Integrate with LLM APIs (OpenAI GPT-4, Claude, or open-source alternatives) 2. iPaaS Integration Layer Implement integration with Zapier, Make (Integromat), or n8n for app connectivity Create a system for OAuth authentication flow management Build abstraction layer for triggering actions across 100+ business applications Handle webhook management for real-time updates from connected apps 3. Data Architecture & Storage (Supabase Focused) Design and implement database schema using Supabase (PostgreSQL) Implement PGVector for RAG (Retrieval-Augmented Generation) and document memory Build secure credential management with encryption for user app tokens Create real-time chat system using Supabase's real-time capabilities Design efficient storage strategy for chat logs, user data, and document embeddings 4. User Interface & Experience Develop a responsive, modern frontend using React/Next.js or Vue/Nuxt Build a real-time chat interface with streaming responses Create a no-code agent builder workspace for workflow customization Implement clean, intuitive UI for connecting apps and managing agents 5. Backend Infrastructure Build robust backend API using Node.js/Express or Python/FastAPI Implement background job processing for long-running tasks Create comprehensive logging and audit trails for AI actions Build user authentication and multi-tenant data isolation Develop error handling and retry mechanisms for external API calls Required Skills & Technologies Must-Have: Full-stack development experience AI/ML Integration: Proven experience with LangChain, LlamaIndex, or similar agent frameworks Supabase Expertise: Deep knowledge of PostgreSQL, real-time features, and PGVector iPaaS Integration: Hands-on experience with Zapier, Make, n8n, or similar platforms Modern Frontend: React, Vue, or similar framework with state management Backend Development: Node.js/Python with API design experience Authentication: OAuth 2.0 flows and secure credential management Nice-to-Have: Experience with workflow orchestration (Airflow, Temporal) Knowledge of vector databases and RAG implementations Previous experience building AI agent products DevOps skills (Docker, deployment, monitoring) Experience with real-time applications (WebSockets, SSE) If you feel there's a better and cheaper way , lets talk