See your AI agents think. Reasoning, tool calls & decisions
AI agents are powerful but invisible. When they fail, you get an error — not a reason. Kōan streams every agent event live — reasoning, tool calls, decisions, errors — tagged and timed. → Anthropic, OpenAI, Gemini + any custom LLM → Add DeepSeek, Mistral, Ollama via custom provider → Per-agent model selection → BYOK — keys never stored → No signup needed Free to start. Just add your API key and run.
Hey Product Hunt! 👋
I built Kōan because I kept hitting the same wall — AI agents failing in production with zero visibility into why.
The name comes from Zen Buddhism. A kōan is a riddle with no obvious answer — which is exactly what debugging a black-box AI agent feels like. Kōan makes the invisible visible.
A few things I'd love your feedback on:
1. Which provider integrations matter most to you?
2. What would make the event stream more useful for debugging?
3. Would team sharing / log export unlock this for your workflow?
Try it free at k-an.vercel.app — no signup, just add your API key and hit Run All.
Happy to answer any questions below! 🎋
About Kōan on Product Hunt
“See your AI agents think. Reasoning, tool calls & decisions ”
Kōan launched on Product Hunt on April 28th, 2026 and earned 60 upvotes and 1 comments, placing #73 on the daily leaderboard. AI agents are powerful but invisible. When they fail, you get an error — not a reason. Kōan streams every agent event live — reasoning, tool calls, decisions, errors — tagged and timed. → Anthropic, OpenAI, Gemini + any custom LLM → Add DeepSeek, Mistral, Ollama via custom provider → Per-agent model selection → BYOK — keys never stored → No signup needed Free to start. Just add your API key and run.
On the analytics side, Kōan competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Kōan performed against the three products that launched closest to it on the same day.
Who hunted Kōan ?
Kōan was hunted by Ashish Sharda. 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.
For a complete overview of Kōan including community comment highlights and product details, visit the product overview.
Ashish Sharda