Works in Claude Code and Codex
Built on Claude Code, with a ready-made plugin. OpenAI Codex and any other MCP client connect to the same tools, and there's an OpenAI-compatible endpoint for everything else.
The engineering platform for the AI era
Your agents write the code.
You fly it.
The cockpit for the modern engineer.
- ◎Oversee your codeevery change, live
- $Cut your AI spend~90% lower cost
- ✓Check the qualityevery diff reviewed
HybridYour local GPUs + Claude Code or OpenAI Codex
Creating code got easy. Understanding it didn't.
From builder to pilot
Claude Code and Codex write code faster than anyone can read it. You prompt, wait for the run to finish, and get back a pile of changes to review, a review that is too often rushed or skipped. A pilot doesn't fly that way. They see every instrument while they fly and correct course the moment something drifts. Kavent gives engineers that cockpit: see the work as it happens, stop it on the spot, and direct it to the solution you meant.
Coding agents today
- You only see the result once the run is over
- Hundreds of changed lines land on you at once
- Reviews get rushed, or skipped
- The code exists, but nobody really understands it
- When it goes the wrong way, you start over
Coding agents with Kavent
- Watch every file change live, while the agents work
- Small, focused steps, each with its own diff
- Every diff reviewed and scored, so you know where to look
- Every change explained and traced to its context
- Stop it the moment it drifts and steer it back in plain words
◎
Oversee the code
One live view of every agent, every file and every decision across all your repos. Nothing happens off your radar.
$
Oversee the budget
See what every run, engineer and model costs, set daily budgets, and let the hybrid router keep the bill to a minimum.
✓
Check the quality
Free checks, then a review of every diff and a confidence score that tells you exactly what to read.
⚡
Deliver fast
Context is built before you ask, so agents start working instead of reading. Features ship in minutes.
Hybrid by design
Your coding agent + your own GPUs
Keep the leading coding agent you already trust. Kavent adds the GPUs you already own and gives every piece of work to the side that does it best, so frontier models are paid only where they make a difference.
Your agent of choice
Claude Code · OpenAI Codex
Frontier models where quality depends on them:
- Hard, multi-file changes
- Reviewing every diff
- Taking over when a local step fails
Kavent
Routes every step, watches the budget, scores the quality
Your local GPUs
GPU servers · idle Macs
The everyday work, on hardware you already own:
- Reading and indexing every repo
- Planning, triage and search
- Routine code changes and grading
~80% of tokens on your GPUs
~20% frontier
Typical split. Work on local GPUs never leaves your network and costs only electricity.
See it fly
One feature, two repos, one real run
Maya maintains Lunchbox, a small todo app with a FastAPI backend and a React frontend. She asks for due dates and red overdue todos. These are screen recordings of the real Kavent dashboard during that run; long stretches are sped up and marked on screen.
The cockpit
Everything a pilot needs. Nothing they don't.
Always aware of every repo
Your repositories are read and summarized ahead of time into a context graph. Agents start from a short brief that cites path::symbol and line numbers, not from a blind re-read.
Cross-repo understanding
Kavent maps how your repos connect through APIs, packages, infrastructure and shared config. A change that needs the backend and the frontend is planned as one, with a contract between them.
Hybrid code search
Search by meaning, by exact words or by symbol name, fused into one ranking. It also covers the data models and data flows extracted from each repo.
Smart model routing
Each step goes to the cheapest model that will get it right: a local GPU first, Claude Haiku for medium work, Claude Sonnet only for the hard parts. If a step fails, it moves up a tier on its own.
Your idle GPUs, pooled
Linux GPU servers and opt-in engineer Macs join a private pool. A Mac only takes work when it's idle, on mains power and not in a call. Setup picks the best model for each machine's GPU.
Local model writes, Claude reviews
The local model makes the change, free checks run (lint, parse), and Claude reviews only the diff. You get reviewed diffs in Python, JS/TS, Java, Go and C#. Nothing is applied without you.
Live file review & steering
Every run is a live tree of the files it touches, with state, line counts, confidence and diff. Stop, resume, exclude a file, or type a correction. The Kaven Agent re-plans only what changed.
Confidence on every change
Every change gets a confidence score. Changes Kavent is sure of collapse out of the way, and the ones it doubts are flagged for a human, so your attention goes where it's needed.
Learns from its mistakes
Failed checks and rejected reviews become short lessons for later runs, and similar past changes are reused as examples. It improves every week without retraining.
Never redo work
Every finished run is summarized and searchable. Before starting, agents check whether the question was already answered, and every answer traces back to the context it used.
Cost & outcome insight
See what the work cost against what one model would have charged, how many tokens stayed on your own hardware, and what each engineer shipped.
Under the hood
How a request flies
- YouState the intent in Claude Code or Codex
- ContextKavent picks the repos from its graph and search index
- PlanSmall steps, each routed to GPU, Haiku or Sonnet
- ReviewChecks, a Claude review of each diff, a confidence score
- LandYou read what matters, steer, and apply
כַּוֵּן
kaven · aim · direct · fine-tune
Why “Kavent”
You set the direction
The agents write the code. You steer it the right way. Steering works only when you can see everything, so Kavent gives you full observability: every model and machine doing the work, every repo and how they connect, every file a run touches, as it happens.
You don't need to read every line. When something drifts from what you meant, you see it at once: a low confidence score, a failed review, a file that shouldn't change. You correct it in plain words, and the run goes the way you see it.
That's the name. Kaven (כַּוֵּן) is Hebrew for aim, direct, fine-tune, from the same root as kivun, direction. Kaven + agent = Kavent: the agent you direct.
Your code stays yours
Runs on your infrastructure
Kavent deploys with Docker Compose on your own server. Work on local GPUs never leaves your network.
- Self-hosted, no telemetry
- Daily budgets per organization and per engineer
- Only token hashes stored, full audit log
- Hardened containers, nightly backups
- Diffs are proposed, never applied without you
- Bring your own Anthropic key
Take the controls.
Kavent is in early access for engineering teams that already ship with Claude Code or Codex.