Products/Observability tools, AI Agents, Developer Tools/Kōan

Kōan

See your AI agents think. Reasoning, tool calls & decisions

Observability tools, AI Agents, Developer ToolsFounded 2026Live event streaming of reasoning, tool calls, decisions, and errorsAnthropic, OpenAI, Gemini + any custom LLM supportCustom provider integration via DeepSeek, Mistral, OllamaPer-agent model selectionBYOK — API keys never storedNo signup requiredTagged and timed event stream
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Our Take

Kōan is the observability tool that actually makes AI agents stop being terrifying black boxes — it streams every reasoning chain, tool call, and decision live, tagged and timed so developers can see exactly where their agent went wrong instead of guessing. The BYOK setup where API keys never touch their servers is low-key the move for security-conscious teams, and the fact that it works with everything from Anthropic to Ollama means you're not locked into a single provider. At 60 upvotes in a week, it's got real traction signal from developers who are clearly desperate to debug their agents without losing their minds. Free to start, no signup required — if you're building with AI agents, this is worth a look.

Agentic observability platform that streams every AI agent event live — reasoning, tool calls, decisions, and errors — tagged and timed for debugging and visibility.

Problem It Solves
AI agents are powerful but invisible. When they fail, users get an error but not the reason why. Kōan makes the invisible visible by providing full transparency into agent reasoning and decision-making.
Target Customer
Developers building with AI agents who need visibility into agent behavior in production.
Use Cases
Debugging AI agent failures in production, Understanding why agents make specific decisions, Monitoring agent reasoning chains, Tracing tool call sequences
Pricing Details
No pricing information found on page. Free tier available.
Free Tier
true
Differentiator
Transforms AI agent debugging from solving a kōan (riddle with no obvious answer) into a visible, traceable process by making the black-box reasoning transparent.
Why Now
AI agents are increasingly deployed in production but developers lack visibility into how they think and why they fail. As agents become more common, debugging tools are essential.
Traction
Notable Metrics: 60 upvotes, 26 followers, Day Rank #73 (launched this week)

Key Facts

Category
Observability tools, AI Agents, Developer Tools
Founded
2026
Pricing
Free to start
Discovered via
product-hunt

The people behind Kōan

A

Ashish Sharda

profile

Links

WebsiteSource: product-hunt

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