Private beta - AI agent safety for teams
See and stop risky actions from AI coding agents.
AgentChute gives engineering leaders one live trail across Claude Code, Cursor, Codex, Gemini, and other AI coding tools: commands, file edits, package installs, secrets, policy decisions, and blocked actions.
Private beta. No credit card. One repo onboarding with the founder.
- Pre-execution blocks
- Cross-tool visibility
- Audit-ready event history
npm install @clerk/nextjs@7.0.0
Edited billing/refunds.ts
Detected token-like string
Why teams need this
Your AI coding agents already have production-adjacent power.
The risk is no longer only what code was generated. It is what the agent is about to do on a developer machine.
Agents act before review.
They install packages, run shell commands, edit files, and call tools before a pull request exists.
Every tool has its own trail.
Cursor, Claude Code, Codex, and Gemini all emit different local signals. Leaders need one place to see them.
Security needs the action, not just the diff.
A dangerous command, leaked token, or vulnerable install can happen before CI and PR review ever start.
What AgentChute gives teams
A simple control room for risky agent actions.
Keep the tools your team already uses. Add shared visibility, local enforcement, and a durable event history without slowing developers down.
See every AI agent action
Know which tool acted, what it tried, who approved it, and which rule fired.
Block risky operations
Stop vulnerable installs, unsafe shell commands, leaked secrets, and suspicious edits before they run.
Share policy across the team
Publish workspace guardrails once. AgentLint enforces them locally without cloud code execution.
Export audit evidence
Keep blocked actions, allowed actions, policy versions, and team history ready for review.
Product proof
From local hook to team event in seconds.
AgentLint blocks or records the action locally. AgentChute aggregates the sanitized event so leaders can review the team-wide pattern.
Claude Code is about to run
npm install @clerk/nextjs@7.0.0AgentLint returns
Critical vulnerability found in requested package version.
AgentChute records
- Tool: Claude Code
- Rule: no-vulnerable-version-install
- Severity: critical
- Status: blocked
Proof, not fear
The product is built around moments teams already recognize.
Vulnerable installs, unsafe shell commands, secrets, and scope drift all happen before a PR exists. AgentChute makes those moments visible and reviewable.
$ npm install @clerk/nextjs@7.0.0
permissionDecision DENY
[no-vulnerable-version-install] vulnerable per GHSA-vqx2-fgx2-5wq9
Upgrade to a version outside the affected range.
Private beta
Want to test this against one real repo?
Apply with your team context. We review selected teams manually and walk through the first event together.
How it works
Start with one repo. See value before a rollout.
The beta path is intentionally small: one real repo, one AI coding tool, and the first event reviewed together.
- Step 01
Install AgentLint
Local hooks watch agent actions before they execute.
- Step 02
Connect AgentChute
Pair one workspace and publish team policy without changing developer workflows.
- Step 03
Review team events
See blocked and allowed actions across AI coding tools from one dashboard.
Works with the tools your team already uses
Private beta
Bring one real repo. We will review the first event together.
We are onboarding selected teams manually. No credit card, no trial clock, no sales maze.
FAQ
Questions a CTO actually has.
Short answers for the first conversation. Deeper product docs stay in the docs section.
- Does AgentChute upload source code?
- No. AgentLint runs locally. AgentChute receives operational event metadata such as tool name, rule ID, severity, decision, timestamps, and file path context.
- How is this different from AI review tools?
- Review tools inspect code after a PR or review context exists. AgentChute watches the AI coding workflow itself: installs, commands, edits, secrets, and policy decisions.
- Does AgentLint still work without AgentChute?
- Yes. The OSS rules remain free and local. AgentChute is the team layer for shared visibility, policy distribution, access control, and audit history.
- What does the beta cost?
- Private beta is free for selected design partners. Paid team plans are expected to start at $249/month after beta for teams up to 10 developers.