Budget: 1000 EUR Deadline: 18 days
Greetings. I will design a multi-agent AI system using n8n, Supabase, and RAG frameworks. I will package agent interactions, webhook processing, and REST API into fault-tolerant workflows with OpenAI API integration. I have implemented similar complex routing of data streams and cascading API calls in the backend of a trading MAM terminal. What volume of the knowledge base is planned to be vectorized for RAG, and has the agent role schema been approved?
Budget: 150 EUR Deadline: 5 days
Hello!
The task fully aligns with my expertise: n8n, OpenAI API, Supabase, REST API, webhooks, RAG, and creating AI agents.
Since the project description is still general, I suggest starting with a separate initial phase to avoid evaluating the entire system blindly.
The first phase includes:
— analyzing the application logic and user scenarios;
— designing the architecture of a multi-agent system;
— defining the roles of agents and the logic of their interactions;
— selecting the data structure in Supabase;
— integration schema through API, webhooks, and n8n;
— creating a working prototype of one main scenario;
— recommendations for further scaling of the system.
The cost of the first phase is €150.
Timeline — up to 5 days.
After demonstrating the prototype and agreeing on the architecture, I will be able to provide an accurate estimate for the full development in terms of phases, timelines, and budget.
I have practical experience in creating AI automations, integrations, Telegram bots, lead processing systems, and e-commerce processes.
To begin, I need to clarify:
1. What main task should the system solve?
2. What agents have already been defined?
3. Where will the application operate: Telegram, web interface, or within a CRM?
4. What data should be stored in Supabase?
5. Is only backend and automation needed, or also a user interface?
I am ready to discuss the details and quickly prepare the first working prototype.
Budget: 50 EUR Deadline: 3 days
Hello!
We are the Business Atlas team, official partners of n8n, and your request is a perfect match for us. We don't just set up simple linear automations; we design complex self-hosted ecosystems based on n8n, Supabase, and AI agents.
Since the specifications are currently flexible, our experience is best demonstrated through specific technical cases we have already implemented:
Multi-agent systems on n8n: We develop AI workflows where tasks are solved not by a single model, but by a cascade of specialized agents with different prompts and roles.
Supabase, RAG, and data handling: We actively use Supabase as a fast vector database and "source of truth" for AI. We set up a full RAG (Retrieval-Augmented Generation) so that agents pull relevant context from large arrays of documents in real-time.
REST API, Webhooks & MCP: We can write custom connectors and handle webhooks of any complexity. We easily connect clients' closed APIs with n8n and OpenAI, ensuring stable operation under high load without failures.
Self-hosted infrastructure: We deploy all solutions on your VPS/servers. This gives your application maximum response speed, complete data security, and eliminates monthly limits on platforms like Make.
My experience as a project manager and our team's expertise amount to over 50 successfully launched intelligent systems in the UA/EU markets. We speak the same language as developers and know how to make the architecture of your AI application flexible, scalable, and fast.
Message me privately—I will send you diagrams of our working multi-agent workflows in n8n, and we will discuss the architecture of your application!
Budget: 1234 EUR Deadline: 1 day
Hello. We are ready to create such bots for you. We have experience in making similar ones. Write to me in private messages - we will discuss the details)
This bet was not generated by AI
Budget: 2500 EUR Deadline: 30 days
Karina, if you need not just a bot, but a reliable multi-agent system with n8n, API integrations, and automations in an AI application — I can help. With 7 years in development, I currently lead a team and often build workflows with webhooks, REST, Supabase, and AI services. I can create a solution from scratch using AI Agents, MCP, or RAG and make it robust in production. I am ready to discuss the architecture and task in more detail.
Budget: 25000 EUR Deadline: 30 days
The timeline is from 3 to 6 weeks for a working first version, provided there are clear scenarios, access, and a description of the logic. The budget is approximately 120,000 UAH for the first stage, which includes architecture, assembling the main workflows, integrations, and testing.
We can approach this not just as executors of individual chains in n8n, but as a team that builds a reliable AI system - agents, memory, roles, data sources, checks, error handling, logging, and proper recovery logic. It's important not to just create a nice demo, but to ensure it doesn't fail on the first non-standard request. The machine should serve the person, not the person serve the machine - it's a bit grandiose, but in automation, it's very practical =)
We have relevant experience:
> https://business.ingello.com/vorfahr - AI automation and product logic with integrations
> https://business.ingello.com/fractal - agent-based approach and complex automated processes
> https://business.ingello.com/tts - AI service working through models and APIs
The main page for FLH - https://systems-fl.ingello.com
Implementation vision:
> short design - roles of agents, scenarios, data, points of failure
> assembling the foundation in n8n or on an agent framework - depending on load and required flexibility
> integrations with OpenAI, other models, Supabase, REST APIs, webhooks
> RAG - if knowledge from documents, databases, websites, or internal materials is needed
> testing on real cases to avoid getting a system that is only beautiful in presentation
You will need to provide access to n8n, Supabase, API keys, a description of target scenarios, and examples of input data. Note, there is a nuance - if there will be multiple agents, it's important to decide in advance who makes the final decision and how the quality of the response is checked.
I would like to clarify 2 questions:
> what specific tasks should the bots perform - sales, support, processing applications, documents, analytics, or something else
> is persistent memory and RAG needed for your data, or is it sufficient for now to have scenario-based automations through the API
Overall, it's fine to start with the first stage - design plus a working prototype, without trying to compress the entire future platform into one bid.
Budget: 36 EUR Deadline: 1 day
Hello. I work with N8N/Langchain/Langraph/etc. I am ready for collaboration.
Budget: 99 EUR Deadline: 3 days
Hello!
I saw your application — this is completely my profile, this is exactly what I do.
I build automations and AI workflows on n8n. I work with webhooks, REST API, connecting OpenAI and other models. For databases and context storage, I usually use PostgreSQL or Supabase.
The principles of building multi-agent systems, RAG (connecting knowledge bases), and MCP are well known to me, so I can outline and set up the logic for your agents without any problems.
If the project is still relevant, let's chat or have a brief call — we can discuss the details and the tasks that the bots need to perform.
Best regards, Andrey.
Budget: 25 EUR Deadline: 1 day
Good day, I am interested in a long-term collaboration. Please write to me so we can discuss all the details and get started on the work. I have experience with Make.
Budget: 50 EUR Deadline: 4 days
Hello! I work with n8n, OpenAI API, webhooks, and REST API integrations.
I have experience creating AI workflows for automating business processes. I have built lead processing systems with AI qualification, CRM integrations, and Telegram notifications. I haven't worked with Supabase but can quickly get up to speed if needed.
Portfolio: https://interesting-galley-0eb.notion.site/Portfolio-ff53a82144bf8251bc1581a6cef25f7d
I am ready to discuss the details and architecture of the system. What specific agents are needed first?
Budget: 150 EUR Deadline: 7 days
Good day. I work on this every day: I have my own multi-agent AI system in production — 100,000+ lines of Python (FastAPI), 750+ API endpoints, 1,000+ automated tests.
What is implemented in it (all — custom code, I will show live):
Orchestrator: 19 specialized agents, tasks as a dependency graph — parallel waves.
Agents: Planner → Specialist → Reviewer → Critic → Finalizer.
Model router: model selection based on task complexity, multi-provider support (OpenAI-compatible APIs, Gemini, Groq, DeepSeek) with automatic fallback, quota management, and model success tracking. Integrated Telegram and Discord bots.
I am ready to show the system live.
Budget: 350 EUR Deadline: 5 days
Hello. I suggest starting with a working first draft of the multi-agent system, rather than trying to automate everything at once. For 350 EUR, I will assemble the architecture of roles and routing, one production-ready workflow in n8n, integration of OpenAI via API, webhook/REST input, state storage in Supabase, error handling and retries, basic logging, and a Docker instruction. If a knowledge base is needed for the scenario, I will add a minimal RAG with verifiable sources. MCP and additional agents will be connected in the next phase after testing the first scenario. The deadline is 5 days. To accurately define the scope, I need the main business scenario, input data, expected results, and current access to n8n/Supabase.
Budget: 1500 EUR Deadline: 20 days
The profile matches: n8n, integration of OpenAI and other models via API, webhooks, REST API, and Supabase, reliable AI workflows. I build multi-agent systems both from scratch and on frameworks, with experience in MCP and RAG as well.
I suggest starting with a small working slice - one agent plus integration with a key data source, to immediately assess quality and approach, then we can scale to other scenarios without rewriting the architecture.
I would like to clarify two points: what is the scenario for the agents at the input and output, and is there already a partial implementation on n8n or are we building from scratch? This will determine the choice between orchestration in n8n and a separate service with MCP tools.
Budget: 1500 EUR Deadline: 15 days
Hello!
I have already implemented similar AI solutions, where I built automations on Make.com and integrated AI services via API, creating unified workflows for lead processing, user qualification, and automatic decision-making. I also have experience with AI chatbots, Voiceflow, ChatGPT/OpenAI API, CRM, and REST API integrations.
Your project with the multi-agent system looks interesting, especially if it requires building a scalable architecture with AI Agents, RAG, MCP, and integration via webhooks. I can assist in creating reliable agent interaction logic, integrating OpenAI and other LLMs via API, working with Supabase, REST API, and automating business processes.
I am curious if there is already a ready-made architecture for the agents, or if the system needs to be designed completely from scratch? I would be happy to discuss the details and propose an optimal solution.
Budget: 700 EUR Deadline: 10 days
Good day.
I am ready to take your project into work.
I can build such a system for you using n8n.
Message me privately, and we will discuss all the details of your specifications and choose the best solution for you.
Budget: 1000 EUR Deadline: 1 day
Hello! Multi-agent systems and automation through APIs are familiar to me—I have worked with OpenAI and Gemini in my AI applications, and the combination of webhooks + REST + Supabase fits perfectly into reliable AI workflows. I will build the system from scratch or on agent frameworks with RAG and MCP. I would be happy to discuss the details in private messages.
Budget: 2500 EUR Deadline: 30 days
Hello! The profile matches: n8n, integration of OpenAI and other models via API, webhooks + REST + Supabase, reliable AI workflows. I build multi-agent systems (Agents, MCP, RAG) from scratch and on frameworks.
To hit the target right away — please clarify: what is the final scenario for the agents (what's the input and output) and is there already a part on n8n, or are we building from scratch? This will determine the choice — orchestration in n8n or a separate service + MCP-tools.
I am ready to start with a small working slice (1 agent + integration) so you can see the quality, then we can scale up. I will send the portfolio and estimate based on your scenario.
— Mykola
Budget: 500 EUR Deadline: 7 days
Hi,
I have developed several AI agents including raiabot.
You can check raia from https://raiaai.com/.
Let's connect.
Best,
Jeo
Budget: 1100 EUR Deadline: 7 days
Hello! In a multi-agent system on n8n, everything relies on the orchestrator. If you simply chain agents together, they start to overlap, loop, and lose state in complex scenarios. Therefore, I first set up a router that distributes requests to narrow sub-agents based on intent, each with its own area and tools through MCP, while keeping the overall state and memory in Supabase to ensure that steps do not lose context.
I connect RAG so that agents respond strictly from your database and honestly indicate when there is no data, rather than making things up. This is the difference between a reliable workflow and a pretty demo that falls apart on live requests.
I integrate OpenAI and other models via API with fallback and limit handling, webhooks, and REST for integration with your application. I am ready to build either a narrow MVP on one scenario or a full-fledged system with multiple agents.
I will outline the details and approach in private messages, for free. I look forward to collaborating.
Budget: 1000 EUR Deadline: 30 days
Senior Python Developer with 5 years of experience. 2 years in developing AI bots, agents, avatars. Main tech stack for AI includes Python, n8n.
Budget: 90 EUR Deadline: 5 days
Karina, hello. This is my profile: Python, n8n, OpenAI API, Supabase, RAG/MCP, and reliable agent-workflow. I can quickly assemble the first working scenario with logs and error handling. Show me 1-2 agent tasks — I will suggest an architecture. The price is starting and negotiable.
Budget: 100 EUR Deadline: 3 days
Hello Karina!
I am ready to discuss the details and implement your project!
Message me and let's start the implementation!
Budget: 700 EUR Deadline: 21 days
Hello, Karina! I have been building AI-agent systems and automation for the last few years: my own game bot with coordination of a 5-bot fleet and a priority decision tree, an event-driven pipeline with queues and async processing (edrsr-ai-server), batch AI processing through the Gemini API with confidence thresholds (promAI). I work closely with REST APIs, webhooks, Supabase Auth/Realtime (youtube_translation, minemind).
Honestly: I do not have direct production experience specifically with n8n - I build AI Agents/MCP/RAG systems from scratch in code (Python/TypeScript), which gives more control over reliability and error handling, but requires a bit more time at the start instead of a ready-made no-code framework. If n8n as a tool is mandatory - let me know, and I will honestly say if it fits.
I am ready to discuss the architecture in more detail - what agents are needed, what automation scenario, and what AI models you are already using.
Budget: 81 EUR Deadline: 3 days
Understood the task: a multi-agent system on n8n with OpenAI integration via API, webhooks, and Supabase as the backend for state storage. I can assemble agents with role separation, connect RAG for the knowledge base, and MCP for their interaction. Please clarify: should I build from scratch on n8n or refine an existing framework (LangChain/CrewAI)? A working workflow can be shown in 3 days.
Budget: 200 EUR Deadline: 24 days
I will build a multi-agent system for your application: each agent as a separate workflow in n8n, the orchestrator assigns them tasks, state, and knowledge base in Supabase (pgvector under RAG), everything externally through webhooks and REST.
One nuance that often breaks in such systems: the agent chain thinks for dozens of seconds, while the webhook waits for a response synchronously and fails due to a timeout. Therefore, I will implement an acknowledgment immediately, and the agent will return the result via a callback to the application, so the interface does not freeze.
We will discuss the details in the chat.
Budget: 15000 EUR Deadline: 14 days
Good day! We have experience in building multi-agent systems based on n8n and integrating LLM through API. We implement the architecture for agent interaction using Supabase for context storage and ensuring stable webhook operation. We are ready to ensure the scalability of your AI workflows and optimize automation chains.
Budget: 25 EUR Deadline: 1 day
Hi Karina,
I build exactly this kind of setup regularly, n8n workflows wired to OpenAI, Supabase as the backend/vector store, webhooks and REST endpoints tying agents together. Multi-agent systems from scratch is where I spend most of my time lately, including RAG-style retrieval where agents pull from a knowledge base instead of hallucinating, and MCP for tool access between agents.
Since the brief is fairly high-level, a few things would help me scope this properly and give you an accurate quote rather than a guess:
What should the agents actually do, day to day, and how many distinct roles/agents are we talking about? Is there an existing knowledge base or dataset they need to reference (docs, product data, support history), or is this greenfield? What triggers the workflows, incoming webhooks, a schedule, a chat interface, something else? And do you already have Supabase and n8n instances running, or does setup start from zero?
My approach for this kind of build: agents run as n8n workflows calling OpenAI (or whichever model fits the task best and keeps cost sane), Supabase handles state, embeddings and any structured data, and webhooks/REST expose the whole thing to whatever's consuming it. I keep architecture as simple as the task allows, no unnecessary agent layers just because "multi-agent" sounds impressive, each agent earns its place or it gets merged into one.
Answer those here and I'll come back with a real price and timeline instead of a placeholder number.
Budget: 300 EUR Deadline: 15 days
I will do it for the lowest price with maximum involvement. I am interested in this. For the case)
Budget: 1200 EUR Deadline: 7 days
Good day, your project - Multi-agent system - is exactly my profile. I specialize in developing AI agents and automations, and I have experience with each point of your request:
- n8n - I build reliable AI workflows and automations, from simple scenarios to complex branching pipelines.
- Integration of AI models - OpenAI and other models via API, working with webhooks and REST API.
- Supabase - data storage, authentication, working with databases for AI applications.
- Multi-agent systems - I create from scratch or based on a framework, depending on the task and requirements for control and cost.
- RAG - building retrieval pipelines to work with your data (specifically through vector storage Supabase / pgvector).
I can offer not just the execution of individual tasks, but a holistic architecture that will work stably and scale along with the application.
The cost of work on the project is 20 EUR/hour.
Budget: 1000 EUR Deadline: 20 days
Hello!
I have experience in developing AI automations using n8n, OpenAI API, and other LLMs, integrating through REST API, webhooks, and Supabase. I also work with AI Agents, MCP, RAG, and can create both standalone AI workflows and full-fledged multi-agent systems from scratch or using existing frameworks.
I would be interested to learn more about the specific system you plan to implement and what tasks the agents should perform. After our discussion, I can suggest the optimal architecture, timelines, and cost of implementation.
I look forward to collaborating!
Budget: 99 EUR Deadline: 7 days
Hello. Working with n8n and implementing AI is my main specialization.
I have certificates confirming my proficiency in n8n. In addition, I have experience working with Supabase: I have created both traditional and vector databases based on it.
In personal correspondence, I can provide links to my work.
The price is conditional, as a precise estimate requires understanding the scope of tasks.
Budget: 700 EUR Deadline: 14 days
Hello!
I specialize in creating AI agents and automating business processes using n8n, OpenAI API, REST API, and webhooks. I work on building reliable workflows, integrating external services, and processing data through APIs.
I also have an interest in developing solutions in the areas of multi-agent systems, RAG, and modern AI architectures.
More examples of implemented projects and cases are available in my portfolio.
I would be happy to discuss your project and propose an optimal solution architecture.
Budget: 500 EUR Deadline: 7 days
Good day.
I see that you need a developer for creating AI bots, multi-agent systems, and AI automations. Could you please let me know if you already have a ready architecture, or do we need to design the system from scratch?
I specialize in developing AI systems and automations: I work with n8n, OpenAI API, REST API, Webhooks, Supabase, MCP, RAG, and multi-agent systems. I also actively use Claude Code to build complex AI solutions where multiple agents interact with each other, utilize tools, and work with data and external APIs.
It is important for me not just to create a separate bot, but to build a stable, scalable system that will be easy to maintain and expand.
I am ready to discuss your task, propose an architecture, and start working immediately.
Budget: 500 EUR Deadline: 8 days
Hi, there. I have strong experience building AI automations, multi-agent systems, and intelligent workflows using n8n, OpenAI APIs, REST integrations, webhooks, and modern AI frameworks. I have worked on projects involving AI agents, RAG pipelines, MCP-style architectures, document processing, and integrations with databases such as Supabase. My approach would begin with understanding the business processes and defining the roles of each agent, then designing a reliable architecture where agents can collaborate, exchange context, and perform tasks efficiently. I can develop custom workflows from scratch or use suitable frameworks depending on the complexity and scalability requirements of the project. Special attention is given to stability, observability, API integrations, memory management, and future extensibility of the system. I enjoy solving complex automation challenges and creating AI systems that deliver practical business value rather than simple chatbot functionality. I would be glad to discuss your use cases and long-term goals in more detail. Thank you.
Budget: 500 EUR Deadline: 7 days
Hello!
I specialize in automating business processes and implementing AI agents. I work with n8n, Python, CRM systems, API integrations, and LLM (OpenAI and others). I help reduce routine tasks, optimize processes, and increase efficiency.
Let's discuss the details!
Budget: 25 EUR Deadline: 1 day
Hello. I am a Python developer with extensive experience in integrating various APIs and building automations. I work with both clean code and platforms like n8n and Make, which allows me to flexibly combine custom logic in Python with visual workflows for speed and convenience. I have a good understanding of the specifics of multi-agent systems, RAG, and working with Supabase, so I can build a stable architecture.
I would like to hear more details about your tasks and current developments. I suggest we discuss everything in more detail to determine the system logic, technical nuances regarding API access, and environment setup—this will help me accurately assess the scope of work, guide you on costs and timelines, or the format of collaboration. Feel free to reach out.
Budget: 20000 EUR Deadline: 7 days
Hello! I have extensive experience in building complex automations and multi-agent systems. I have worked with n8n, integrating LLM through API, as well as implementing RAG systems for data processing. I understand the architecture of AI agents and can connect them into effective workflows using Supabase and REST API. I am ready to discuss the details of your project and propose an optimal architecture for achieving the set tasks. Feel free to reach out; I am ready to start the discussion.
Budget: 12345 EUR Deadline: 3 days
Hello! Are you planning to use ready-made frameworks for the multi-agent system, or create everything from scratch?
I will discuss the deadlines and budget more precisely in personal correspondence.
Here’s how I will execute this project:
1. I will deploy and configure n8n for basic workflow automation.
2. I will integrate OpenAI and other AI models via REST API and webhooks.
3. I will build a multi-agent system from scratch, using MCP and RAG for reliable AI workflows.
Thank you for considering my proposal. I look forward to the opportunity to collaborate with you!
Budget: 76 EUR Deadline: 4 days
I will deploy a multi-agent system on n8n: orchestrator + executing agents, OpenAI API via webhooks, state and data in Supabase, REST for external calls. If necessary, I will add RAG and MCP tools. I am ready to discuss the architecture, working version — in 4 days.
Budget: 25 EUR Deadline: 25 days
Hello!!
6 years of experience in IT and 3 years in AI implementation and automation.
I am proficient in n8n! Message me - we will discuss the project details in person.
