World’s first comprehensive evaluation, observability and optimization platform to help enterprises achieve 99% accuracy in AI applications across software and hardware.
This is the 5th launch from Future AGI. View more

traceAI
Launching today
traceAI is OTel-native LLM tracing that actually works with your existing observability stack.
✓ Captures prompts, completions, tokens, retrievals, agent decisions
✓ Follows GenAI semantic conventions correctly
✓ Routes to any OTel backend—Datadog, Grafana, Jaeger, anywhere
✓ Python, TypeScript, Java, C# with full parity
✓ 35+ frameworks: OpenAI, Anthropic, LangChain, CrewAI, DSPy, and more
✓ Two lines of code to instrument your entire app
No new vendor. No new dashboard. Open source (MIT).



Free
Launch Team







Future AGI
Really enjoyed building this solution for AI pros. It gives you a clear look at how your AI agents are performing without any vendor lock in
Future AGI
@kartik_nvjk Great work bro!
Much needed! Since you’re positioning traceAI as a semantic layer over OpenTelemetry so do you see this becoming a standard like OTel itself or staying a developer-focused tool?
Future AGI
@lak7 We are trying to build this as a standard/foundation for the GenAI builder community
Future AGI
GenAI observability has been broken for too long. TraceAI gets it right and this is the kind of observability layer every AI team needs but rarely has. Smart to make this open source and build trust first. Congrats team! 🚀
Future AGI
@vel_alagan Thanks Vel!
Future AGI
this is going to be a one stop solution for anyone who is building agents and exploring agentic architectures!
Future AGI
@rishavhada Absolutely bro!
Future AGI
This is the one of the best open source open telemetry solution out there, no vendor lock in and one stop solution. Great Work team!
Future AGI
@atharva_b Thanks Atharva!
Simple Utm
The OTel-native approach is the right call here. Most LLM tracing tools force you into a new dashboard and a new vendor relationship. The fact that this routes to Datadog, Grafana, Jaeger means teams can use what they already have instead of adding yet another pane of glass to monitor.
Curious about one thing: how does traceAI handle tracing across multi-agent workflows where one agent calls another? Do the traces compose into a single parent span, or do they stay isolated per agent?
Congrats on the launch.
Future AGI
@najmuzzaman you get all the traces and spans, e2e visibility into each step that your agent takes so you know what breaks and where