Traccia
AI applications are becoming agents, which has started to take autonomous decisions. There are plenty of tools and platform available to trace, and observe what an agent or llms calls does. They are good in what they do, but tracing and observability isnt enough for AI agents era. We need a solution that can help you observe, evaluate, create run time policies to govern and finally audit the actions of the agent. We built Traccia to solve this problem. The good part, all of these can be achieved by just writing few lines of code. Traccia has an open-sourced sdk that can work with your…
Traccia launched on August 27, 2026 with 197 votes, #156 of 23,274 launches that month and more than 99% of that year's launches.
What it does
Traccia is a vendor-neutral AI Agent Control Plane built for teams running autonomous agents in production. Observe agent behavior, evaluate performance, govern actions with policies and runtime controls, and maintain an auditable trail of what happened. Built with an open, developer-first SDK and OpenTelemetry, Traccia works across models, frameworks, and existing observability stacks—so teams can control their agents without being locked into a single AI vendor.
Traccia is an AI agent control plane for observability, evaluation, governance, and runtime policy enforcement across production AI systems.
Stop switching between LangSmith, custom Grafana dashboards, and spreadsheets. Traccia gives you a single pane of glass for all your AI agents, regardless of framework. Everything you need to observe, evaluate, govern and control your AI agents . One source of truth for all agents across LangChain, CrewAI, and OpenAI Agents SDK. Track version, health, environment, and ownership — zero code changes. Full OpenTelemetry-native visibility into every LLM call, tool use, and agent decision. Supports LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex. 3-tier guardrail detection across explicit annotations, provider-native signals (OpenAI, Anthropic, Google), and heuristics. Hard blocks…from traccia.ai
In the maker’s words, at launch
AI applications are becoming agents, which has started to take autonomous decisions. There are plenty of tools and platform available to trace, and observe what an agent or llms calls does. They are good in what they do, but tracing and observability isnt enough for AI agents era. We need a solution that can help you…
Pricing, as stated on its site
Free tier, paid plans from $99/mo — Traccia offers a freemium model with a free Hobby tier (50K events, 7-day retention) and paid tiers starting at $99/month for Observe plan (500K events, 30-day retention). Higher tiers include Govern
checked September 2026 · prices change
Does a similar job
all alternatives →
Tracium.aiMar 2026 · tracium.ai · ▲70Hi everyone, thanks for checking out tracium. At work I needed some clarity on how much each agent costs us and how they perform on production so I started looking at existing solutions for this such as LangSmith and LangFuse. Honestly, they felt like they are overcomplicated to integrate and that there should be a simpler solution so I decided to build Tracium. Tracium keeps track of every single AI API call that you make to an LLM provider, with this you can see traces, spans, I/O, tokens in/out, latency. You can compare during A/B testing, see usage from each customer and…
AI Observability by OpenObserveAug 2026 · openobserve.ai · ▲317OpenTelemetry-native observability for agents and LLMs
KastraJul 2026 · kastra.ai · ▲332Hi HN, Fernando and I built Kastra. Kastra intercepts AI agent tool calls and evaluates them against deterministic policies before they execute. We built this product to control pre- and post-inference workloads. This is aimed at developers using coding agents like Claude Code, Codex, Cursor, and OpenClaw. Kastra pushes an allow, hold, and deny decision before the action runs. You can build these policies in plain English from the web app. The interception engine evaluates the tools, targets, and parameters of every action at sub 1ms at a scale of billions of interceptions per day. We also…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗ · launch text quoted in part
Launched alongside, August 2026
the whole month →- TL
Life & fun · Aug 2026 · louisabraham.github.io
Clipto MCP▲655Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…
Work · Aug 2026 · clipto.com
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
Astute▲606Automate your B2B brand going viral, with new media creators
AI · Aug 2026 · company-app.joinastute.com