OpenClaw Collaborative AI Agents

@LiveExperts

Hello, I am Mirza Muhammad from Live Experts at your service. My team and I are well-versed in the tools required for your project. With our proficiency in Python, we can deliver strong AI agents familiar with OpenAI APIs and more. Not only that, our extensive understanding of AWS services can help in deploying these agents efficiently onto cloud platforms. Our skills don't end with technical capabilities but stretch to include sophisticated prompt engineering and system designing for real-world applications; a must-have skill set for the execution-focused nature of this project. Furthermore, my company embraces the vision of turning clients' ideas into reality and ensuring utmost satisfaction in every project undertaken. We intimately understand the need for building agentic workflows that work seamlessly in production environments like yours across multiple use cases. As an added advantage, my team is experienced with multi-agent coordination systems and has worked on voice AI applications as well with interfaces, such as CRM integrations. All our claims are backed by a strong portfolio of real AI agents built and deployed by us, not just experiments. Our uniqueness lies in the fact that we are not merely tool-focused workers, we understand systems thoroughly and design accordingly. Let's connect to explore how our expertise aligns closely with your requirements! Thanks!

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Software Architecture, CRM, Artificial Intelligence, API Integration, Google Ads, Prompt Engineering, AI Agents, LLM Integration, Clawdbot, OpenClaw and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@Feriver

Hello, I specialize in building production-ready AI agents and can develop your 7 specialized agents (Sales, Support, Training, etc.) end-to-end. I have hands-on experience with Python-based agents, LangChain/LangGraph orchestration, OpenAI API integrations, multi-agent memory systems, and deployment to cloud and API endpoints. I focus on robust system design, prompt engineering, and workflow integration, ensuring agents operate reliably in real-world environments. Deliverables include fully functional AI agents, integration with your existing workflows, memory and tool usage setup, and documentation for maintenance and scaling. Each agent will be tested in production-like conditions to ensure responsiveness, accuracy, and coordinated behavior. Questions: Are there existing backend systems or CRMs these agents need to integrate with? Should agents support real-time voice/Chat UI or primarily API-driven interaction? Thanks, Asif

@alizain721

You want 7 production-ready AI agents for Sales, Support and Training, not prototypes. I’m based in Pune and have built and deployed multi-agent systems exactly like this. One hidden snag most teams miss is cross-agent state and cost: without a shared memory and strict tool-call budgets your token costs and inconsistent user context explode as you scale. I plan for that from day one. Relevant project: I built and deployed a 4-agent sales + support system for a B2B SaaS using Python, LangChain and LangGraph patterns, OpenAI tool calling, Redis-backed memory and HubSpot integration, live on GCP handling 1k+ daily sessions; we later extended it with OpenClaw style orchestration for complex handoffs. My approach: design modular Python agents with standardized tool interfaces, orchestrate workflows in LangGraph, enforce memory and cost controls, and deploy as secure serverless APIs with monitoring and CI/CD. I’ll provide prompt templates, system prompts and end-to-end integration with your CRM or voice stack. Can we jump on a 15 minute call to align priorities — which two of the seven use cases should we prototype first and do you already have a CRM or voice platform to integrate? Regards

@Hubready

Hello!, I am a US-based senior software engineer with extensive experience in AI and software architecture. I’ve carefully read the project description for OpenClaw Collaborative AI Agents and I’m excited about the opportunity to collaborate on this innovative project. With about 15 years in the field, I have a strong background in building production-grade software, particularly in AI automation and API integration. To ensure I fully understand your vision, could you please clarify the following questions to help me better understand the project? 1. What specific functionalities do you envision for the AI agents? 2. Are there any existing systems or platforms you want these agents to integrate with? 3. What are your expectations regarding the project timeline and deliverables? My experience encompasses LLM integrations, intelligent workflow automation, and building custom APIs. I approach projects with both an engineering mindset and a focus on practicality, ensuring optimal performance and ROI-driven results. To kick things off successfully, I propose we start with a detailed requirements analysis phase, followed by a prototyping stage to validate our approach before full implementation. I look forward to discussing how I can contribute to your project and help bring your ideas to life. Best, James Zappi

@arbu1499

Hi! I’m very interested in building your suite of 7 production-ready AI agents. I have hands-on experience designing and deploying Python-based agents using LangChain and LangGraph, with tool calling, memory management, and multi-agent coordination for real-world workflows. I’ve integrated AI agents with APIs, CRMs, and cloud environments, ensuring they are robust, reliable, and scalable. I can also optimize prompts and system design to meet high-impact business use cases across Sales, Support, and Training. Looking forward for your positive response in the chatbox. Best Regards, Arbaz M

@Techroj

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc. I have hands on experience building full stack systems using python django along with integrating ai workflows into production apps. I have worked on complex api integrations, state handling, and backend orchestration which directly applies to multi agent systems. i understand how to structure agent flows, manage memory, and connect tools in a way that is reliable and scalable. I will be direct though. building seven agents across domains like sales and support requires clear system design upfront. what architecture are you planning for agent coordination and state sharing across these systems? Lets discuss further over a chat. Also, I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan

@maximg10

⭐Hey, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in Python-based AI agents and a deep understanding of LangGraph, LangChain, and agent orchestration frameworks. My hands-on expertise with OpenAI APIs, tool calling, and multi-agent systems, including OpenClaw, align perfectly with the requirements. I have successfully deployed AI agents to production environments, ensuring seamless integration and robust performance. Moreover, my background in prompt engineering and system design equips me to tackle real-world use cases effectively. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@krisk63

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in LLM Integration, Artificial Intelligence, API Integration, CRM, Prompt Engineering, Clawdbot, Google Ads, OpenClaw, Software Architecture and AI Agents. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer

@SkillCrafts

Your focus on OpenClaw for collaborative AI agents aligns perfectly with my recent work deploying production-grade multi-agent swarms for complex enterprise automation. I recently engineered a system that utilized structured reasoning and asynchronous task execution to handle intricate data workflows, resulting in significantly higher reliability compared to standard monolithic LLM architectures. I am deeply familiar with the nuances of agentic loops, the necessity of rigorous state management, and the specific challenges of ensuring that collaborative systems remain coherent during long-running, autonomous processes. I pride myself on moving beyond simple wrappers to build agentic systems that truly solve multi-step reasoning problems at scale. To build this infrastructure, I will implement a modular architecture using LangGraph or Autogen to manage state transitions and ensure predictable agent handoffs. I’ll focus on designing a robust communication protocol—likely utilizing a shared blackboard or a hierarchical supervisor model—to prevent logic loops and maximize task efficiency across the cluster. For memory, I will integrate a multi-tiered approach using Redis for short-term context and a vector database like Pinecone for long-term RAG-based retrieval. I also prioritize production-grade observability, implementing tracing with LangSmith to monitor chain-of-thought reasoning and catch hallucinations in real-time, ensuring the system remains stable under heavy production loads. Regarding the orchestration, are you leaning toward a centralized supervisor agent to delegate sub-tasks, or a more autonomous peer-to-peer model? I’m also curious if you have a preferred strategy for sandboxing agentic tool-use and code execution to maintain security. I am available for a brief call to align on the technical roadmap and discuss how we can move this into production efficiently. I’m ready to start immediately and can provide specific examples of my past agentic deployments during our conversation. Let’s connect to turn this vision into a scalable, high-performance reality.

@Srashtasoft

A Warm Hello! I went through your requirements, and I’m excited because this project needs exactly the kind of end-to-end execution I specialize in. I’ve spent the last few years building production-grade AI agents using Python, LangChain/LangGraph, OpenAI APIs, tool-calling, memory systems, and multi-agent orchestration. I’ve delivered real deployments — not experiments — with workflow automation, CRM integrations, and cloud-based agent APIs. Your plan to build 7 specialized agents (Sales, Support, Training, etc.) aligns well with the multi-agent coordination systems I’ve built for enterprise dashboards, stock-market assistants, binary trading bots, and internal automation platforms. I’m also comfortable with OpenClaw/Clawdbot-style structured reasoning flows and full backend integrations. To give you an accurate execution plan, may I ask: Do you already have initial workflows defined for each agent? What’s your preferred cloud environment for deployment? Let’s set up a quick call to discuss things better. Let’s discuss it more in chat. Best Regards, Jemin Sagar

@AlexVydrin

Hi there! I’m thrilled to apply for this exciting project. With solid hands-on experience in Python-based AI development, I specialize in building and deploying production-ready AI agents. I’ve worked extensively with LangChain, OpenAI APIs, and multi-agent systems to create robust, scalable solutions. I have a proven track record of integrating AI workflows seamlessly into cloud environments and APIs, and I’m familiar with prompt engineering and system design for real-world applications. I’d love to discuss how I can contribute to building your specialized AI agents. Let’s connect soon!

@SalinaSof30

Hello, I reviewed your requirement and understand you’re building OpenClaw, a system of 7 production-ready AI agents (Sales, Support, Training, etc.) with real-world orchestration, not just prototypes. I am an AI/Backend Developer with 8+ years of experience building and deploying Python-based AI agents using LangChain, LangGraph, and OpenAI APIs. I’ve developed multi-agent workflows with tool-calling, memory management, and API integrations for CRM, support automation, and internal ops. For your project: Design and implement modular AI agents with clear responsibilities Build orchestration layer (LangGraph) for multi-agent coordination Integrate tools (CRM, APIs, workflows) with structured tool-calling Implement memory (short/long-term) for context-aware interactions Deploy production-ready APIs with monitoring and logging I’ve delivered real-world agents handling support automation, lead qualification, and workflow execution—not just demos. Portfolio and case studies available on request. I focus on system design, scalability, and reliable execution. Looking forward to collaborating on a high-impact AI system. Thanks, Sukrati

@matheussilva114

Hi, I am Matheus, a senior software developer with over 7 years of experience as you can check my profile. I am a senior engineer with over 7 year of experience on Software Architecture, CRM, Artificial Intelligence, API Integration, Google Ads, Prompt Engineering, AI Agents, LLM Integration, Clawdbot, OpenClaw. Please visit my profile to view my latest projects, certificates, and work history. Let's connect in chat to discuss more. Regards, Matheus

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have successfully built and deployed multiple AI agent systems using Python and LangChain, orchestrating multi-agent workflows easily to serve diverse real-world use cases. From my experience, the most important part of successfully completing this project is designing seamless end-to-end agentic workflows with robust integrations and reliable multi-agent communication. Approach: ⭕ I will develop 7 specialized AI agents tailored to your use cases with Python and LangChain. ⭕ Implement effective orchestration and memory management using OpenClaw and multi-agent coordination techniques. ⭕ Ensure smooth tool calling, prompt engineering, and backend integration. ⭕ Deploy agents to scalable production environments (cloud and APIs). ⭕ Provide end-to-end system design and test for real-world performance. ❓ Could you please clarify which cloud platform you prefer for deployment? ❓ Are there existing CRM or other third-party systems for integration? ❓ What are the critical performance metrics or SLAs expected from these agents? I am confident in delivering a high-impact, production-ready AI agent system that aligns perfectly with your sophisticated requirements. Best regards, Nam

@Kashifscode

Hello, As an AI developer, I believe I possess the skills and experience you need to execute and deliver on your OpenClaw Collaborative AI Agents project. I have a strong background in Python-based AI operations with a demonstrated understanding of agent orchestration frameworks such as LangGraph, agent deployment using OpenClaw, and agile integration with OpenAI APIs. My portfolio showcases real-life projects of agent workflows built from backend to integration, including deploying to production environments for scale using robust APIs and cloud systems. Not only do my skills align with your specific requirements, but my approach resonates with your call for an understanding of systems rather than mere tools. Throughout my career, I have consistently emphasized creating well-designed and efficient programming solutions that meet not just the needs of the present but also are scalable for future use. Additionally, I have pertinent experience in multi-agent coordination systems and conversational agents which could significantly benefit this project. Lastly, Pune being my location still in candidacy eliminates any concerns about working with agencies. Feel free to review my previous projects; they speak to my commitment to high-quality delivery. With me on your team, you can be assured that this project will not only meet its objectives but also exceed expectations in terms of precision and efficiency. Thanks!

@rajeshrolen

Hello, Are you seeking top-tier AI developers with a proven track record of building production-ready AI agents? Look no further. I specialize in creating specialized AI agents across various use cases, including Sales, Support, and Training. Understanding your need for Python-based AI agents, LangGraph, LangChain, and agent orchestration frameworks, I bring hands-on experience in working with OpenAI APIs, memory systems, multi-agent systems, and OpenClaw. My expertise extends to building end-to-end agentic workflows, deploying agents to production environments, and prompt engineering for real-world applications. What sets me apart is my proficiency in multi-agent coordination systems, voice AI, conversational agents, CRM integrations, and workflow implementations. I have a strong portfolio of live projects and case studies showcasing my ability to deliver tangible results, not just experiments. If you are looking for a reliable AI developer in Pune who can meet your high-impact project requirements, I am here to discuss further. Let's connect to explore how I can contribute to your project's success. Portfolio: https://www.freelancer.com/u/rajeshrolen Sincerely, Rajesh Rolen

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of expertise in Software Architecture, Artificial Intelligence, API Integration, and AI Agents. I have carefully reviewed your project requirements for building specialized AI agents across various use cases. I propose to leverage my experience in Python-based AI agents, LangGraph/LangChain frameworks, OpenAI APIs, and multi-agent systems to develop and deploy high-performing AI agents tailored to your needs. Additionally, I will ensure seamless integration with existing systems and provide end-to-end agentic workflows for optimal performance. I am keen to discuss further details and collaborate on this exciting project. Please initiate a chat to explore how we can achieve your project goals together. Cheers, Vishal Maharaj

@victorc309

Dear Hiring Manager, I am excited to apply for the AI development position where I can leverage my experience in building production-ready AI agents. With hands-on expertise in Python-based AI systems and agent orchestration frameworks such as LangChain and LangGraph, I am confident in my ability to contribute to the development of your 7 specialized AI agents across various use cases. Relevant Experience: AI Agents: Experience building and deploying AI agents using LangChain, OpenAI APIs, and multi-agent systems for real-world use cases in Sales, Support, and Training. Tool Integration: Expertise with tool calling, memory management, and system design for seamless integration and execution of AI workflows. Production-Ready Deployment: Successfully deployed agents to production environments (APIs, cloud services), ensuring performance and scalability. Prompt Engineering: Skilled in designing optimal prompts for complex AI tasks and building robust workflows for multi-agent coordination. Bonus Experience: - Voice AI / Conversational Agents: Worked on voice-based AI systems for user interaction. - CRM & Workflow Integrations: Familiar with integrating AI agents with CRM systems to automate tasks and improve productivity. I am excited about the opportunity to contribute to your high-impact project and look forward to discussing how my expertise aligns with your needs. Best regards,