AgentX - Multi-agent and eval framework
Build and evaluate multi AI agents with any LLM
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AgentX - Evaluate AI agent, pinpoint issues, and fix with one click.

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Evaluate AI agents before they fail. Create test suites, run evaluations, and pinpoint issues before they reach production. AgentX provides full observability and traceability for your AI agents. AI analysis not only identifies problems but also suggests fixes-like an AI doctor for your agents. Simulate run your agents across multiple LLM providers to compare performance, cost, and latency, helping you make better decisions about which LLM to go. Run eval before deploy. Like CI/CD for AI agents.

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Nice idea

Maker

 

Thank you so much for the support, really appreciate it! 🙏

💡 Bright idea

Congrats on the launch 🚀 AgentX looks like something I’d actually want to try, multi-agent workflows feel super practical for streamlining real tasks.

Maker

 
Thank you, really appreciate it! 🚀

That’s exactly the use case we’re excited about - moving beyond single-purpose agents into workflows!

The 'pinpoint issues and fix with one click' promise is interesting, but eval tools get noisy fast once agents use multiple tools. Curious what you treat as the source of truth for a failure: model trace, tool result, final output diff, or a human rubric?

Maker

 

We don’t see one universal source of truth. It depends on the eval: trace, tool result, final output, required fields, or human rubric.

The key is combining signals to identify where the failure actually started

This tool really hits the point. Now I don't have to waste my money and time for finding a useful AI anymore.

Maker

 
Thank you, really appreciate it!

That’s exactly the goal - helping teams evaluate agents before committing more time, money, or infrastructure to the wrong setup.

Choosing the right AI agent or model should be based on real performance, not guesswork.

This product is amazing. Congrats on its launch!

Maker

 
Thx Wood! Appreciate it!

Nice launch! Comparing performance, latency, and cost across providers from one place sounds incredibly useful :))

Maker

 

Thank you! :))

That’s one of the areas we’re most excited about. Model choice should not be based on hype or guesswork.

Teams need to see how each provider performs on their actual agent workflows - quality, latency, cost, and reliability - before making a switch.

Have you considered adding automated regression testing whenever prompts, tools, or workflows change?

Maker

 

We already do!

Try section “recommended prompt and tools changes” :)

how AgentX handles non-deterministic agent behavior across repeated evaluation runs. Is there a way to measure consistency?

Maker

 

Yes - repeated runs help measure consistency directly: pass rate, output variance, tool-call consistency, and where behavior drifts.

One good run is not enough for agents

Maker

 

Yes - repeated runs help measure consistency directly: pass rate, output variance, tool-call consistency, and where behavior drifts.

One good run is not enough for agents

Can AgentX evaluate multi-agent workflows where several agents collaborate and hand tasks between each other?

Maker

 

Yes - that’s one of the main use cases :)

AgentX can evaluate the full multi-agent workflow: handoffs, role boundaries, tool usage, context transfer, intermediate steps, and whether the team completed the intended task.

Multi-agent systems need evals at the coordination layer, not just per-agent outputs

Congrats on the launch :) The screenshots look clean and the workflow appears straightforward for developers.

Maker

 

Yep! Developers and non-techies can find themselves pretty easily ;)

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