[HN Gopher] Show HN: TraceRoot - Open-source agentic debugging f...
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Show HN: TraceRoot - Open-source agentic debugging for distributed
services
Hey Xinwei and Zecheng here, we are the authors of TraceRoot
(https://github.com/traceroot-ai/traceroot). TraceRoot
(https://traceroot.ai) is an open-source debugging platform that
helps engineers fix production issues faster by combining
structured traces, logs, source code contexts and discussions in
Github PRs, issues and Slack channels, etc. with AI Agents. At the
heart are our lightweight Python (https://github.com/traceroot-
ai/traceroot-sdk) and TypeScript (https://github.com/traceroot-
ai/traceroot-sdk-ts) SDKs - they can hook into your app using
OpenTelemetry and captures logs and traces. These are either sent
to a local Jaeger (https://www.jaegertracing.io/) + SQLite backend
or to our cloud backend, where we correlate them into a single
view. From there, our custom agent takes over. The agent builds a
heterogeneous execution tree that merges spans, logs, and GitHub
context into one internal structure. This allows it to model the
control and data flow of a request across services. It then uses
LLMs to reason over this tree - pruning irrelevant branches,
surfacing anomalous spans, and identifying likely root causes. You
can ask questions like "what caused this timeout?" or "summarize
the errors in these 3 spans", and it can trace the failure back to
a specific commit, summarize the chain of events, or even propose a
fix via a draft PR. We also built a debugging UI that ties
everything together - you explore traces visually, pick spans of
interest, and get AI-assisted insights with full context: logs,
timings, metadata, and surrounding code. Unlike most tools,
TraceRoot stores long-term debugging history and builds structured
context for each company - something we haven't seen many others do
in this space. What's live today: - Python and TypeScript SDKs
for structured logs and traces. - AI summaries, GitHub issue
generation, and PR creation. - Debugging UI that ties everything
together TraceRoot is MIT licensed and easy to self-host (via
Docker). We support both local mode (Jaeger + SQLite) and cloud
mode. Inspired by OSS projects like PostHog and Supabase - core is
free, enterprise features like agent mode multi-tenant and slack
integration are paid. If you find it interesting, you can see a
demo video here: https://www.youtube.com/watch?v=nb-D3LM0sJM We'd
love you to try TraceRoot (https://traceroot.ai) and share any
feedback. If you're interested, our code is available here:
https://github.com/traceroot-ai/traceroot. If we don't have
something, let us know and we'd be happy to build it for you. We
look forward to your comments!
Author : xinweihe
Score : 20 points
Date : 2025-08-01 16:58 UTC (6 hours ago)
(HTM) web link (github.com)
(TXT) w3m dump (github.com)
| thatrandybrown wrote:
| I like the idea of this and the use case, but don't love the
| tight coupling to openai. I'd love to see a framework for
| allowing BYOM.
| zecheng wrote:
| Yes, there is a roadmap to support more models. For now there
| is a in progress PR to support Anthropic models
| https://github.com/traceroot-ai/traceroot/pull/21 (contributed
| by some active open source contributors) Feel free to let us
| know which (open source) model or framework (VLLM etc.) you
| want to use :)
| 44za12 wrote:
| Why not use something like litellm?
| zecheng wrote:
| That's also one option, we will consider add it later :)
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(page generated 2025-08-01 23:00 UTC)