Unlocking context and data for your AI agents.

Boston, MA
Joined November 2020
We asked Reddit how teams give agents access to production. The answers: read replica only, a staging copy fed with live data, or no agent access at all. People worry about governing the write, and forget the reads. Let hoop.dev do both for you, unlock full context for your agents.
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Tomorrow, 1 PM ET: how do you know AI did what you intended? AI governance that enforces while the agent acts. With Greg Crowley (former CISO at WWE & eSentire) and Andrios Robert, our founder. hoop.dev/webinar/ai-accounta…
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A static rule can't judge intent. A human can't review at machine speed. The only thing fast enough to stop an AI agent is another agent, reading every query live. We built that agent. Free and open source: hoop.dev/start
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There's no screen in AWS that shows you everything you're running. The bill you pay show only one number. Let blueprint help: one command, read-only, and it breakdown the count for you. Easy install, btw: github.com/hoophq/blueprint
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We just bundled a cool tool set in one plugin for Claude Code. A guardrails for destructive commands, a risk scanner for personal data/secrets in your sessions, and a token saver. Built for solo builders: github.com/hoophq/claude-mar…
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You pay for everything your coding agent does, even though most of it is unnecessary for what you need. Julius, the newest free launch from our eng team, filters command output before it reaches the model. Verbose commands compress 60-90%, and errors always pass through. Exact per-app, per-model token metering. Here's the Repo: github.com/hoophq/julius
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Your AI coding agent's session logs hold more than you think: pasted configs, keys, customer data inside stack traces. hoopRS, our new free open source tool, scans them right on your machine and shows you what's there. Your session content never leaves your environment. MIT licensed. No signup wall and no trial. Runs locally. Repo is github.com/hoophq/rs
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AI coding agents are fast, and when they run with your full permissions, they can delete your files, leak your keys, or wire up persistence, with nothing standing between it and your machine. Fence, our little side project, blocks the catastrophic command before your agent runs it, and stays silent for everything else. Totally free. No signup wall. No trial. Run locally. MIT licensed. Check the repo: github.com/hoophq/fence.
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Andrios Robert: security is non‑negotiable for many organizations. Less-regulated businesses might get away with weaker posture, but healthcare, public companies and firms handling PII must secure data or risk going out of business. Regulation keeps expanding — emails, SSNs, addresses now require protection #Security #CyberSecurity #HoopDev #Compliance #PII #DevSecOps .
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Your audit log has two kinds of entries. The ones tied to a real person, and the ones tied to a service account that fifteen people share. When auditors ask who ran the migration, you can answer the first kind in seconds. The second kind takes a week, a Slack thread, and a best guess. As AI coding agents move into production, every agent action lands in the second column by default. Today we ship MCP OAuth. Hoop's MCP endpoint speaks OAuth 2.1 with any compliant identity provider, so the AI agent authenticates through the same Okta, Auth0, Entra ID, or Google Workspace your humans use. Every command the agent runs is tied to the human user it is working for. Same group memberships. Same access scopes. Same revocation flow. This closes the loop on yesterday's user MCP launch. The agent runs as the human. The human is governed by your IdP. Now the agent is too. Same auth as your humans. Now extended to AI.
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There are two ways to run AI coding agents in production. 1. Give the agent a service account with broad access. The agent runs, but nothing in the audit log says who asked for what. 2. The agent runs as the human user who started the session. Same permissions. Same policies. Same approval gates. The audit log shows the person, with the agent attributed. Option two shipped today. Hoop's user MCP server. Open source. MIT. Free for small teams. Read More: hoop.dev/blog/how-ai-coding-…
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Most MCP servers running in production today are unsupervised proxies. The agent shows up with a token. The server forwards what the agent asks for. The audit log, if there is one, lives in the agent's runtime , not yours. Treat MCP like any other wire protocol and the problem disappears. The agent connects through your policy engine, authenticated as a proxied identity. Every action evaluated against the same rules you already wrote for SSH, kubectl, psql. Approvals fire. Sessions recorded. One audit log. What we shipped is an MCP gateway with the same enforcement primitives we ship for every other transport. There's nothing separated out AI-specific in the policy engine. There doesn't need to be. The interesting question for 2026 isn't whether you adopt MCP. It's whether your MCP traffic shows up in the same audit trail as everything else. Repo: github.com/hoophq/hoop Write up: hoop.dev/blog/ai-agents-dont…
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Startup Engineer: 50% Time → Manual PCI Work Engineer at billion-dollar startup wasted half his time on manual security. hoop.dev fixes this. #PlatformEngineer #ManualWork #hoopdev #PCICompliance #Fintech #StartupEngineer
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Google Docs Security for Production = Happy Devs No access requests killing flow state. hoop.dev = invisible security confidence like Google Docs. Devs work faster, happier. #DeveloperFlow #InvisibleSecurity #hoopdev #DevOps #FlowState #SecureLikeGoogle
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Secure Access Must Be User-Friendly to Work Unfriendly security = devs bypass controls. hoop.dev gives autonomy + frees platform teams from 50% copy-paste waste. #UserFriendlySecurity #DeveloperAutonomy #hoopdev #DevOps #PlatformEngineering #SecurityPosture
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Invisible Proxy: Deploy Security to 1000+ Devs in 2 Weeks No interface changes, no training. One toggle → server-side proxy protects. Velocity preserved. #InvisibleProxy #DeveloperInterface #hoopdev #DevOps #NoTraining #DeploymentSpeed
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81% Better Developer Retention = Huge Cost Savings Happy devs stay. 81% retention boost with tools they actually want. Save HR/training costs, keep experienced talent. #DeveloperRetention #DeveloperHappiness #hoopdev #EngineeringRetention #DX #TalentRetention
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Security Slows Delivery? DevSecOps Principles That Fix It Security = self-defeating friction. Webinar reveals principles + market data for secure systems that speed delivery. #DevSecOps #SecureCode #hoopdev #SoftwareDelivery #DeveloperAutonomy #SecurityFriction
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