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Splyntra
Open-source AI agent observability and governance platform
Splyntra traces every AI-agent run with a risk score, analyzes cost, evaluates quality, and governs what agents can do — on one OpenTelemetry-based pipeline. Source-available core, self-host or managed cloud.
As AI agents move from simple prototypes to production environments handling critical tasks, observability and security become major bottlenecks. Traditional APM tools weren't built for non-deterministic LLM workflows, multi-agent loops, or sudden cost spikes.
We built Splyntra to give developers and teams full visibility and guardrails over their agentic workflows — all on a single OpenTelemetry-native pipeline.
What you can do with Splyntra:
🔍 Trace Agent Execution — complete, distributed traces of multi-step agent actions, tool calls, and LLM decisions
🛡️ Real-Time Risk Scoring — automatically evaluate and score risk across prompt injections, tool abuse, and unintended agent behavior
💰 Cost & Quality Insights — track token spend, latency, and output quality across every model provider
🔐 Agent Governance — set policy guardrails to control what tools agents can access and enforce execution boundaries
⚙️ Open & Flexible — source-available core on GitHub, self-host it in your own VPC, or use our managed cloud
Two-line install if you want to try it now:
pip install splyntra
# or
npm install @splyntra/sdk
No comment highlights available yet. Please check back later!
About Splyntra on Product Hunt
“Open-source AI agent observability and governance platform”
Splyntra was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #71 on the daily leaderboard. Splyntra traces every AI-agent run with a risk score, analyzes cost, evaluates quality, and governs what agents can do — on one OpenTelemetry-based pipeline. Source-available core, self-host or managed cloud.
Splyntra was featured in Open Source (68.8k followers), SaaS (44k followers), Artificial Intelligence (477.5k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 215.9k products, making this a competitive space to launch in.
Who hunted Splyntra?
Splyntra was hunted by Anand Kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Splyntra stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anand Kumar
Hey! 👋 I'm Anand, the creator of Splyntra.
As AI agents move from simple prototypes to production environments handling critical tasks, observability and security become major bottlenecks. Traditional APM tools weren't built for non-deterministic LLM workflows, multi-agent loops, or sudden cost spikes.
We built Splyntra to give developers and teams full visibility and guardrails over their agentic workflows — all on a single OpenTelemetry-native pipeline.
What you can do with Splyntra:
🔍 Trace Agent Execution — complete, distributed traces of multi-step agent actions, tool calls, and LLM decisions
🛡️ Real-Time Risk Scoring — automatically evaluate and score risk across prompt injections, tool abuse, and unintended agent behavior
💰 Cost & Quality Insights — track token spend, latency, and output quality across every model provider
🔐 Agent Governance — set policy guardrails to control what tools agents can access and enforce execution boundaries
⚙️ Open & Flexible — source-available core on GitHub, self-host it in your own VPC, or use our managed cloud
Two-line install if you want to try it now:
Docs are here if you want the full picture: splyntra.com/docs
Would love for you to try it out, poke at the repo, and tell us what breaks. I'll be in the comments all day to answer questions and take feedback! 🚀