Assist alongside me to finish last part of hermes based ai agent project

@KESHAVINFOTECH

I’ve worked on similar AI product codebases where the priority was not just shipping features, but tightening the parts that fail under real usage. For this Hermes-style agent work, the biggest risk is usually brittle decision flow or memory handling breaking edge cases, so I’d focus on stabilizing that first instead of only pushing roadmap items. My first step would be to trace the current agent loop, inspect the failing issues from dog-food testing, and map where FastAPI async tasks, React hooks, and third-party API calls connect. That makes it easier to close Git issues cleanly, add tests around changed logic, and keep the staging release safe to promote. Initial work focus: - Review agent decision loop - Harden memory/knowledge layer - Fix blocking edge cases - Add tests for changed logic - Validate staging release flow One quick question: Which agent path is currently causing the most production risk: decision routing, memory retrieval, or external API failure handling?

@n2rtechnologies

Hi, I've built AI agent platforms with Python and API integrations before. You mentioned Hermes-based — I can jump into your final sprint and handle the remaining backend work without disrupting your current flow. Message me to discuss what's left. Best Regards, Hasan

@DeveloperStation

Hi there, I’ve developed multiple AI-driven products, including a web app that uses LLMs to generate personalized email templates based on user data. We also built a Chrome extension to extract data from LinkedIn and Gmail, which was then used to fine-tune the LLM for better results. I’m well-versed with FastAPI, Python, and CI/CD pipelines, and I can handle both front-end and back-end tasks. I’m also a strong advocate for writing unit tests and have extensive experience with tools like Jest, Mocha, and Cypress. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit. I usually respond within 10 minutes. Best regards, Adil

@Softeria

With over 12 years as a ??? ?? ?????????? ???????????e and 600+ completed projects under my belt, the depth and breadth of my AI software development skills make me an invaluable asset for your Hermes-based AI agent project. Having successfully delivered numerous projects that bear close resemblance to your outlined requirements, I have ample experience with your tech stack including React, TypeScript, Python and FastAPI among others. Furthermore, I'm well-versed in working with mixed codebases, conducting GitHub PR reviews and providing concise daily updates on progress. My experience aligns perfectly with the AI-driven operations platform you're building. Over the years, I've focused on developing solutions that optimize business processes through automation. This has involved extensive work in AI Chatbots and API Integrations - similar to what you need for your project. Additionally, you can count on me to ensure high code quality by increasing test coverage and addressing missing tests where agent logic has changed. As we know, a project is only as good as the team behind it. Given this, my strong research background coupled with my engineering experience provide a comprehensive skill set necessary to turn the remaining roadmap items into production-ready features efficiently. Let's leverage my proven proficiency and deliver a stable release together!

@PINESCRIPTERR

Hi, I read your project "Assist alongside me to finish last part of hermes based ai agent project" and I can help with it. Based on the description, I would focus on React components, responsive UI, and maintainable front-end architecture. I noticed the listed skills include PHP JavaScript Python Software Architecture Git Artificial Intelligence AI (Artificial Intelligence) HW/SW Twilio API Integration Cloudflare FastAPI AI Development. I will also pay attention to the technical architecture, consider the infrastructure needed for a clean handoff. I will first confirm the exact requirements, then deliver the work in clean, reviewable steps so you can give feedback early instead of waiting until the end. My approach: 1. Review the full requirements and confirm the desired outcome. 2. Build or complete the core work with attention to quality, usability, and reliability. 3. Test the final result, make revisions if needed, and hand over the finished files or setup notes. Before starting, I have three quick clarification questions: 1. You mention React, PHP, Python. Is this the required stack, or should I recommend the best architecture around your existing setup? 2. For the issue described in "I’m in the last sprint of an advanced AI-driven operations platform and need a developer who can jump straight into the...", can you share the steps to reproduce it and access to the affected environment? Best regards

@temoberishvili

Hi there, I see you're looking for help to finish your AI-driven operations platform. It sounds like you're in the final stages, and I can assist with that. Given your need for integration with Twilio and API connections, I suggest we focus on ensuring smooth communication between your components. Utilizing FastAPI could enhance performance for your AI tasks, especially if responsiveness is key in this last sprint. I can also handle any PHP and JavaScript aspects to tie everything together effectively. I'd start by reviewing the current architecture and identifying any areas that need attention. Q1: What specific features are you looking to finalize in this sprint? Q2: Are there any current integration issues with Twilio or other APIs that we need to address? Q3: What is your timeline for completing this project? Let's get this done efficiently.

@kishanbwts

I’m ready to jump in and help wrap up your AI agent enhancements quickly. I’ve worked on projects with FastAPI backends and React frontends where tightening decision loops and hardening memory layers were crucial to stable AI behavior in production. A quick suggestion: for edge-case failures, I’d start by reviewing your existing error handling around async FastAPI tasks and adding targeted unit tests to catch state issues early. How are you currently managing retries or fallbacks in the agent’s decision logic? That’s often a spot where small tweaks prevent larger bugs. I’ll focus on closing the Git issues on your roadmap and raising code coverage where logic has changed, so your staging release is solid and rollback-free. Daily updates and GitHub PR reviews will keep us aligned. Since you need overlap in early Melbourne mornings, I can adjust my schedule to fit that window. Ready to start immediately and keep the final sprint moving smoothly.

@FizzaNadeemK

Hi, the challenge is taking an already-running AI operations platform from functional to production-ready by strengthening the agent behaviour, reliability, and edge cases that appear during real usage. Your stack details around Hermes-style agents, memory layers, FastAPI async workflows, React TypeScript, and third-party integrations stood out because this requires someone comfortable moving between AI logic and application engineering, and I have built n8n-based AI automation systems with complex workflows and integrations. I will work directly inside the existing codebase, improve agent decision flows, harden memory and knowledge handling, resolve bugs, add tests around changed logic, and help prepare a stable staging release. The goal is a smoother final sprint with cleaner agent behaviour, fewer failures, and a codebase ready for continued development. Which AI agent areas are currently causing the most issues during testing: reasoning loops, memory retrieval, tool execution, or external API handling? Best Regards, Fizza Nadeem K

@saadrizwan97

As a seasoned AI developer with a comprehensive understanding of software architecture and API integration, I can hit the ground running to help you complete the Hermes-based AI agent project. Having proficiently used Twilio, React, TypeScript, Python, and FastAPI––all key components of your project stack––I am more than equipped to enhance your AI-agent functionality, fix bugs, improve decision loops, and strengthen the memory/knowledge layer while contributing code coverage and unit tests. My expertise in navigating complex codebases and leveraging GitHub for streamlined operations aligns well with your needs for maintaining high code quality through continuous integration and delivery. With my analytical approach and years of experience handling edge-case scenarios, I can effectively mitigate potential failures and ensure stable releases. Despite fast iterations being a core part of my skill set, I always prioritize stability without sacrificing quality. Additionally, working on numerous CRM automation projects with diverse tools and APIs has equipped me with a strong capacity to integrate various systems smoothly. This proficiency extends perfectly to your requirements for seamless third-party API integration. My day-to-day progress updates will keep you informed about every significant development as we sprint towards completion together. So if you're ready to accelerate your project towards success in the final stage, let's collaborate!

@codefusion53

Hi, I’m ready to jump into your Hermes-based AI agent project for the last sprint. I can commit to two weeks at 15–25 hours per week and overlap with your 1 AM to 10 AM Melbourne window. I bring hands-on experience with Python, FastAPI async endpoints, background tasks, and React/TypeScript frontends, plus API integrations and a hardened memory layer. I’ll navigate your production stack (Supabase auth, Cloudflare tunnels, Twilio SMS, Gmail, ElevenLabs voice, enrichment APIs) and turn the remaining roadmap into production-ready features. My plan is to tighten decision loops, strengthen the memory/knowledge layer, address edge-case failures, and convert roadmap items into tests and robust code. Deliverables align with your list: ship the pending AI-agent enhancements, raise code coverage with new tests, triage blockers from dog-fooding, and push a stable staging release ready for production. I’m comfortable with GitHub PR reviews, daily updates, and fast iterations to keep momentum without rollback risk. Best, Justin

@techsty2014

Hello there, We will jump into your Hermes agent codebase and ship the pending enhancement tasks: tightening decision loops, hardening the memory layer, and closing edge-case failures. For the knowledge layer, we will structure retrieval so the agent pulls context with source tracing. That reduces hallucination and makes debugging faster. A couple of quick things to confirm: 1) Is the agent memory backed by Supabase or a separate vector store? 2) How many open Git issues remain on the roadmap? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Send me a message and we can go over the details. Best regards, Faizan

@mahads31

Hi, This project is a great match for my experience. I'm comfortable working across mixed **React + TypeScript and Python/FastAPI** codebases, and I have hands-on experience with AI integrations, API workflows, and debugging production applications. I can jump into an existing architecture quickly, understand the current agent flow, and focus on improving AI decision logic, memory handling, and overall system stability. I can help close the remaining roadmap items, resolve edge-case issues, add the necessary unit tests, and ensure a stable staging release is ready for production. I'm also comfortable with GitHub PR workflows, daily progress updates, and collaborating in a fast-paced environment. I'm available to start immediately and can align with the required overlap hours. I'd be happy to review the codebase and discuss the roadmap in more detail. Best Regards, Mahad

@techstar12

The real work here is getting into an already live system, understanding the agent behavior quickly, then making targeted fixes without creating regressions across the memory layer, async backend work, and React surface area. Relevant experience on my side: I’ve worked across Python/FastAPI and React/TypeScript stacks where AI workflows depended on external APIs, background tasks, auth, and production edge cases. The biggest value I can bring is not just writing code, but isolating where agent decisions break, adding tests around that logic, and shipping small PRs that are easy to review. For your two week sprint, I’d start by reviewing the roadmap issues, mapping the risky agent flows, then prioritizing fixes that unblock dog food testing and staging release confidence. Daily updates and PR based communication work well for me. A couple of things would help before starting: do you already have the agent enhancement issues prioritized, and is there a staging dataset or test environment where edge cases can be reproduced safely?

@pasion0128

★•══•★ Hi client ★•══•★ My approach will be: ✅ Jump directly into the existing React/TypeScript and FastAPI codebase, review the roadmap, and prioritize the remaining AI-agent enhancement tasks ✅ Improve agent decision loops, memory/knowledge handling, background workflows, and third-party integrations while keeping production stability front and center ✅ Add targeted unit tests and increase coverage around modified agent logic to reduce regressions during rapid iteration ✅ Triage blocking bugs, participate in PR reviews, and deliver a stable staging release ready for production promotion I have experience working with AI-powered platforms, FastAPI services, React/TypeScript applications, API integrations, agent workflows, Supabase, Twilio, and production support in fast-moving environments. I am comfortable working in existing codebases, providing concise daily updates, and collaborating through GitHub issues, pull requests, and staged releases. One key question: are the remaining AI-agent tasks primarily focused on prompt/orchestration logic, or on memory retrieval and knowledge-base reliability? Best regards. Rico

@ikhan9985

As an experienced AI developer, I understand the complexities and nuances involved in deep learning projects. My proficiency in Python, machine learning, and FastAPI should be invaluable as we turn your remaining roadmap items into production-ready features. My AI-first mindset means I'm always focused on optimizing and improving code efficiency - something that will be key as we harden the memory/knowledge layer and tighten the decision loops of your Hermes-style agent. In addition to AI and development, my skills extend to JavaScript, PHP and various web development frameworks which will ease the transition into front-end TypeScript and React tasks. Though my background may not completely mirror your stack, my proven ability to navigate mixed codebases will prove advantageous in this situation as well. Furthermore, I have a keen eye for bugs, excellent track record in QA testing and a history of not only meeting but exceeding project goals. Above all, my dedication and quick learning aptitude stand me out from the rest. I am immediately available to support you for 15-25 hours per week for the next two weeks with overlap between 1 AM and 10 AM Melbourne time. If you believe speed, accuracy and a stellar commitment to getting things done are needed attributes for a collaborative contractor like me, I eagerly await your response. Let’s optimize your AI-agent so it can flex its full potential!

@engruhulajom

Dear Client, I’m an experienced full-stack developer with over 10 years of experience in web and mobile application development, specializing in building scalable, responsive, and high-performance solutions for diverse business needs. I understand you are looking for a reliable developer to build or improve your project, including web or mobile applications similar to CRM, dashboards, or APIs, and I have worked on similar solutions successfully. My skills in React, Vue, Laravel, PHP, Python, REST APIs, and database design ensure efficient and high-quality delivery. Feel free to share more details or ask questions. I’m ready to refine my approach to match your exact requirements. Looking forward to working with you. Best regards, Md Ruhul Ajom

@UzeeTech

With my proven track record of successfully delivering complex AI-driven projects like the one you're working on, I guarantee I can add significant value to your team. My experience spans not only Python and React development but also includes working with advanced AI technologies. I am particularly skilled and experienced in addressing the exact areas of your project where you still need assistance; from improving decision loops and strengthening memory/knowledge layers, to ensuring all necessary Git issues are addressed and implementing capabilities for production-ready features, amongst others. Furthermore, I am a masterful navigator of mixed codebases like yours and have extensive experience with GitHub PR reviews. I know how important strong communication is for collaborative projects like this, and my clients commend my daily updates that not only ensure transparency but also show measurable progress. Moreover, in case it becomes necessary post-engagement to maintain or update the platform further, my 7+ years as a Full-Stack Developer have equipped me to handle not just the frontend and backend aspects of the project but also provided me with a thorough understanding of the essentials of SaaS architecture, user management, scalability measures, and more. Choose me for your project and let's build something that exceeds your expectations while making efficient use of your budget and time.

@mobasherreza10

Hi there, With extensive experience in AI development, I firmly believe I am the best candidate to assist you alongside your Hermes-based AI Agent project. Having worked on FastAPI backends, various APIs, and Python/React codebases extensively, I have developed a deep understanding of the systems you've employed in your platform. Moreover, my background in Software Development enables me to take on diverse challenges with ease, be it decision loops, memory layer optimization or unit testing for enhanced code coverage. In terms of technical skills, I leverage Python expertise and FastAPI's versatile capabilities regularly to develop efficient backend systems. My experience with React will be invaluable for handling crucial elements of your frontend infrastructure like React hooks and TypeScript types. And most importantly, working with JavaScript on a day-to-day basis allows me to seamlessly integrate third-party APIs into the application- a valuable skill in enhancing your AI agent performance with several enrichment APIs.

@purealmaz

I HAVE A QUESTION: Which testing frameworks (e.g., Pytest, Jest) do you currently use for the code coverage deliverables? I understand your requirements for completing the final sprint of your AI-driven operations platform. With my expertise in FastAPI, React, TypeScript, and AI agent infrastructure, I’m confident I can deliver a solution that meets your goals efficiently and reliably. I can start immediately and comfortably overlap with your 1 AM - 10 AM Melbourne schedule. One of my recent projects involved building an advanced AI agent system with full-stack integration. The system supports: Hardening agent memory layers and tightening decision loops Resolving complex edge-case failures across async endpoints Built using FastAPI, React, TypeScript, Supabase, and ElevenLabs This experience is directly relevant to your project, especially with regard to quickly navigating a mixed Python/React codebase, raising test coverage, and pushing stable releases to staging. I focus on building systems that are: Scalable and production-ready Secure and maintainable Easy to extend and evolve with future needs My approach is agile, detail-oriented, and goal-focused—ensuring that what we build isn’t just functional but also efficient and easy to maintain. Let’s connect and discuss how we can bring your idea to life. Looking forward to it! Best regards, Philip Oyedoyin