Optimize OpenClaw Hermes Multi-Agent System
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
The Project
We are looking for an experienced OpenClaw/Hermes/Multi-Agent Systems Expert to help review, configure, troubleshoot, and optimize our existing AI automation environment.
Our system uses AI agents and automation workflows to support different business processes. We need someone who understands how these systems work together and can identify technical issues, improve reliability, and help us build a stable and scalable setup.
What We Need
The ideal freelancer should have hands-on experience with:
OpenClaw and/or Hermes
AI agents and multi-agent systems
AI automation workflows
API integrations and webhooks
Linux/server environments
Docker and containerized applications
Troubleshooting integrations between different services
LLM/API-based applications
System configuration, monitoring, and optimization
What You Will Do
You will review our existing environment and help us:
Configure and optimize OpenClaw/Hermes and related AI-agent components.
Troubleshoot existing issues and identify their root causes.
Review how agents, APIs, workflows, and external services communicate.
Improve the reliability and stability of the overall system.
Identify configuration or integration problems.
Recommend improvements to the current architecture where appropriate.
Help implement and test solutions.
Document important configurations and changes so the system can be maintained going forward.
Who We Are Looking For
We are looking for someone with real hands-on experience, not just theoretical knowledge of AI.
You should be comfortable entering an existing environment, understanding how the different components interact, troubleshooting unfamiliar problems, and explaining your findings clearly.
Experience specifically with OpenClaw, Hermes, AI agents, automation platforms, APIs, Docker, and Linux servers will be highly valued.
Expected Outcome
By the end of the project, we want a more stable, reliable, properly configured, and maintainable AI automation environment, along with clear documentation of the work completed and recommendations for future improvements.
We are looking for an experienced OpenClaw/Hermes/Multi-Agent Systems Expert to help review, configure, troubleshoot, and optimize our existing AI automation environment.
Our system uses AI agents and automation workflows to support different business processes. We need someone who understands how these systems work together and can identify technical issues, improve reliability, and help us build a stable and scalable setup.
What We Need
The ideal freelancer should have hands-on experience with:
OpenClaw and/or Hermes
AI agents and multi-agent systems
AI automation workflows
API integrations and webhooks
Linux/server environments
Docker and containerized applications
Troubleshooting integrations between different services
LLM/API-based applications
System configuration, monitoring, and optimization
What You Will Do
You will review our existing environment and help us:
Configure and optimize OpenClaw/Hermes and related AI-agent components.
Troubleshoot existing issues and identify their root causes.
Review how agents, APIs, workflows, and external services communicate.
Improve the reliability and stability of the overall system.
Identify configuration or integration problems.
Recommend improvements to the current architecture where appropriate.
Help implement and test solutions.
Document important configurations and changes so the system can be maintained going forward.
Who We Are Looking For
We are looking for someone with real hands-on experience, not just theoretical knowledge of AI.
You should be comfortable entering an existing environment, understanding how the different components interact, troubleshooting unfamiliar problems, and explaining your findings clearly.
Experience specifically with OpenClaw, Hermes, AI agents, automation platforms, APIs, Docker, and Linux servers will be highly valued.
Expected Outcome
By the end of the project, we want a more stable, reliable, properly configured, and maintainable AI automation environment, along with clear documentation of the work completed and recommendations for future improvements.
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