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LLmrix
Enterprise AI Agent Platform，Where Every Agent Works as One
17 followers
Enterprise AI Agent Platform，Where Every Agent Works as One
17 followers
llmrix is the leading cloud-native full-agent harness for enterprise multi-agent orchestration. Build, deploy, and scale AI agents with MCP tools, HITL control, and cross-channel integration (Feishu, Slack, Telegram). The ultimate platform for autonomous AI teams.
honestly this looks pretty comprehensive, but one thing that would be huge for our team is a visual workflow builder. right now it sounds like we have to configure agents through code or config files, which is a pain for non-dev folks. something drag and drop where you can see how agents connect and pass tasks would make onboarding way smoother
@quade_zhong Thanks a lot for your valuable feedback!
Check our agent builder at https://www.llmrix.com/prime/agents.
You can build custom standalone agents or agent teams. Our framework automatically manages reasoning and dynamically builds workflows during execution.
honestly this looks pretty solid, but one thing that would help a lot is a built-in cost and token usage dashboard per agent run. when you have multiple agents running across different channels it's really hard to keep track of what's actually burning budget. a simple breakdown by agent and by channel would make it way easier to optimize.
@fletcher_maynard Honestly appreciate the feedback! This feature is already live here: https://www.llmrix.com/prime/model-usage
Love the cross-channel integration angle, especially Feishu support which is rare. One thing that would make this way more useful for our team is a visual workflow debugger that shows the actual decision tree when an agent calls multiple MCP tools in sequence. Right now when something fails halfway through a complex orchestration we have to dig through logs to figure out where it went sideways. A timeline view with the tool calls, inputs, and outputs in chronological order would save us hours of troubleshooting.
Finally tried llmrix and the MCP tool integration setup was way smoother than I expected, took me minutes to get a working agent pulling in Slack and Feishu. Feels built by people who've actually wrestled with multi-agent headaches.