Observing production systems is too late

Everr gives you — and your AI agents — direct access to the signals that matter. Wherever your code runs: locally, in CI, inside remote sandboxes.

A new kind of observability. Built where the work actually happens - your laptop, CI, and the agents shipping alongside you.
Not after-the-fact graphs.

Claude Code
GithubCopilot
Zed Industries
Cursor
Antigravity

Editor-agnostic · Agent-agnostic

Your tools. Your rules.

Observability shouldn't be prescriptive. We don't care which editor you opened this morning, which model is in your terminal, or which agent shipped that PR while you were asleep.

Everr meets your work where it already happens — VS Code, Cursor, Zed, JetBrains, Claude Code, Codex, Copilot, every CLI in between.

Everr doesn't replace your stack, it improves it.

How it works

Your agent shouldn't have to guess.

Reading the codebase tells half the story. Everr captures the other half — what the code actually does the moment it runs — and puts it behind a query the agent already knows how to write.

Same primitives, same data, same answers — whether the agent is on your laptop, a sandbox in the cloud, or a teammate's machine three time zones away.

Agent ↔ Everr

Watch the agent debug itself

A real conversation between a coding agent and Everr — query, identify, fix, verify. No screenshots. No hand-waving.

Claude Code
⌥ Add GET /api/users — return each user with their last activity.⏵ Wiring up GET /api/users with last_activity from sessions.⏵ Tests pass. Hitting the endpoint to verify.> everr query SELECT * "FROM traces WHERE trace.name='GET /api/users'"GET /api/users        1.4s    200 OK  ↳ db.query × 187    1.2s    results=1 ⏵ Executing one query per user. Replacing with a single JOIN and verifying...> everr query SELECT * "FROM traces WHERE trace.name='GET /api/users'"GET /api/users        124ms   200 OK  ↳ db.query × 1      68ms    results=187⏵ Done. Opening PR.

FAQ

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Community

Talk to the team.
Shape what ships next.

It's where we talk with the people using Everr. Drop feature requests, share feedback, and weigh in on what we build next.

Stop guessing.
Start observing.