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AgentWing
Check every AI agent action before it runs
AgentWing checks AI-agent actions before they run. Send the proposed action — file read, shell command, package install, code edit, or API call — to /api/v1/check-action. Get back one of five decisions: allow, block, sandbox_required, approval_required, or restore_point_required. Every check produces an auditable receipt. Open-source (Apache-2.0) runtime control layer with BYOK E2B sandbox routing.
Hey Product Hunt 👋
I'm Ziyad, maker of AgentWing.
I kept seeing coding agents get powerful enough to do risky things — reading .env files, installing packages, and running shell commands in the wrong directory. Most teams have logs, but no enforcement before the action actually runs.
AgentWing is a runtime control layer that sits between your agent and the tools it wants to execute. Bring your own agent — whether it's a coding agent, Claude Code/Cursor-style workflow, LangChain loop, or custom agent runtime — AgentWing handles the check.
One API call before tool execution:
POST /api/v1/check-action
{
"actionType": "shell_command",
"tool": "terminal",
"command": "npm install lodash",
"description": "Agent wants to install a dependency"
}
→ {
"decision": "sandbox_required",
"policy": "sandbox-node-command",
"receiptId": "aw_receipt_8f2a..."
}
Five decisions: allow, block, sandbox_required, approval_required, restore_point_required. Every check produces an auditable receipt.
A few things AgentWing is NOT:
- Not an agent. Bring your own.
- Not a sandbox. It routes sandbox_required actions to your BYOK E2B sandbox.
- Not a prompt/guardrails filter. It checks actions, not prompts.
Apache-2.0 licensed. Open-source repo + hosted dashboard for receipts, policies, and usage.
Repo: https://github.com/12ziyad/agent...
App: https://agentwing.gpmai.dev
Question for builders here: if you're running an agent in production (or trying to), what's the one action type you'd most want blocked or sandboxed automatically? I want to make sure the default policies cover what people actually fear.
Will be here all day — happy to dig into integration questions.
About AgentWing on Product Hunt
“Check every AI agent action before it runs”
AgentWing was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #99 on the daily leaderboard. AgentWing checks AI-agent actions before they run. Send the proposed action — file read, shell command, package install, code edit, or API call — to /api/v1/check-action. Get back one of five decisions: allow, block, sandbox_required, approval_required, or restore_point_required. Every check produces an auditable receipt. Open-source (Apache-2.0) runtime control layer with BYOK E2B sandbox routing.
On the analytics side, AgentWing competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AgentWing performed against the three products that launched closest to it on the same day.
Who hunted AgentWing?
AgentWing was hunted by Ziyad E J. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AgentWing including community comment highlights and product details, visit the product overview.
Ziyad E J