Backed by Y Combinator

Your Agents, Self-Improving.

Monitor your AI agents in production. Agnost automatically detects failures, runs experiments, and opens a PR with the fix, continually.

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Duplicate searches

The same policy was searched three times. The first result already had the answer.

2 unnecessary calls · 1.2s added

Answer contradicts the source

Agent promised 30 days to return it. The retrieved policy said 14 days.

Wrong answer despite a successful search

Refund confirmed, never issued

“Your refund has been processed.” The agent never called issue_refund.

Customer told it’s done · no refund initiated

Monitor your agents.
Know what needs fixing.

Production traces, automatic failure detection, and verified fixes in one place.

01
Monitor
Catch silent failures in production.
Tools can succeed while the agent wastes calls or gives a wrong answer. Agnost detects these failures and shows the share of runs affected.
- We proactively find silent failures
- Define your own failures in natural language
- Track failure trends over time
02
Investigate
Inspect the runs behind the signal.
Open an affected run to see the request, tool activity, and final answer.
- Open the affected interactions
- Compare inputs and responses
- Inspect the flagged evidence
03
Trace
See exactly where the agent went wrong.
Inspect each span, including its inputs, outputs, and duration.
- Inspect traces and individual spans
- Investigate with Claude & Codex via MCP
- Pinpoint the source of the failure
04
Validate
Get a fix that is verified against past failures.
Agnost tests a suggested change against past runs and opens a PR with the fix. Compare failure rates and answer quality before your team merges it.
- Inspect the suggested change
- Compare replay results
- Review the pull request

Built for the way your team works.

Work where your team works.

Investigate failures with the Slack agent, or connect Claude, Codex, and Cursor through MCP to work directly with your production traces.

Keep agent data in your infrastructure.

Run Agnost in your own VPC, with audit logs and custom retention. Give your team visibility into production without moving sensitive traces out of your environment.

Your own model. Lower cost. Faster responses.

Fine-tune a small model on your agent’s traces to reduce inference costs and latency. Run it in-house, on infrastructure you control.

Get started with one prompt.

Paste this into your coding agent. It will install the Agnost skill and connect your project.

Paste into your coding agent

Install the Agnost skill using `npx skills add AgnostAI/skills --skill agnost-ai`, then use it to add Agnost AI analytics to this project.

Works with your stack

Explore integrations

Also supported

Building your own harness?

Pricing

Start free. Improve at scale.

Start with 1,000 events a month, free. Add volume, history, and support as your team grows.

Free

For agents in early production.

1,000 events / mo7-day retention

Full product access:

Always-on monitoring & tracing
Proactive detection of silent failures
Your own Agnost agent in Slack
Agnost inside Claude & Codex via MCP
Continuous improvement with tested fixes

Start Free

Starter

$49/mo

More history. Help getting started.

10,000 events / mo30-day retention

Everything in Free, plus:

Onboarding help

Start Small

Pro

$499/mo

For high-volume agents.

1,000,000 events / mo90-day retention

Everything in Starter, plus:

Founders Slack channel

Start Pro

Enterprise

Custom

Security and scale on your terms.

Custom event volumeCustom retention

Everything in Pro, plus:

Self-hosted VPC & audit logs
Custom SLAs & SLOs
Custom improvement workflows
Model fine-tuning

Let's Chat

Talk to the founders

Find what’s holding your agent back.

Bring your agent. We’ll show you where users get stuck, trace the cause, and turn recurring failures into reviewed fixes.

Speak directly with the founders.
Review your agent’s production workflow.
Leave with clear next steps.

Open the booking calendar

FAQ

Questions,
answered.

How Agnost fits your stack, protects your data, and helps your team improve agents in production.

Talk to the founders

I already have observability and traces. Why do I need Agnost?

A trace can succeed while the agent gives a wrong answer. Agnost finds these failures across your production traffic, traces their cause, and tests fixes against past runs.

Can’t I just ask Claude or Codex to give me insights?

You can use coding tools to investigate a specific conversation. Agnost continuously monitors production traffic, groups recurring failures, and tests fixes against the affected runs. You can also access that evidence from Claude or Codex through MCP.

Is my data secure?

We’re SOC 2 Type I compliant, with Type II in progress. Agnost processes the conversation data you choose to send over HTTPS, with authenticated dashboard access. Redact sensitive fields before ingestion. Contact us for a security review, DPA, or deployment requirements.

How complicated is the setup?

Use the Agnost skill to connect your agent, then verify the events and conversations in a staging trace before enabling production traffic. Your team can start with one agent and expand from there.

Can you help our team get started?

Work directly with the founders to connect your agents, review recurring failures, and identify your first improvements. For enterprise deployments, we can discuss your security requirements, workflows, and support needs.