Agyn

Alright, let's cut through the corporate jargon. Agyn is basically the bouncer, the accountant, and the IT department for your company's AI agents, all rolled into one open-source package. You know how right now, your devs are probably running Claude Code or some custom agent on their personal laptops, giving it access to secret keys and hoping for the best? That's a nightmare waiting to happen. Agyn takes those rogue agents off employee machines and runs them safely across your entire org in isolated sandboxes. Think of it as the management layer your AI needs before it touches anything real.

The core vibe here is control without the headache. Every agent gets its own sandbox, so if one goes haywire, it doesn't bring down your production database. Secrets? They stay hidden from the model itself, so even if a prompt injection attack happens, your API keys and passwords are safe. Each team gets its own spend cap, role-based access, and a complete audit trail so finance can see every penny spent on tokens and IT can stop worrying about shadow AI. It works with any agent you throw at it, whether it's Claude Code, Codex, or some janky custom build you cooked up over the weekend. You can self-host it on your own Kubernetes cluster or use their cloud version. Agyn is built for the moment AI stops being a fun side project and starts touching production data, when security, finance, and IT need real controls before they say yes. If your company is moving from agent experiments to agents in production, this is the layer that makes it possible.

Multi-Environment Deployment with Private Network Access

Ship your agents into any environment or private network without breaking a sweat. Agyn lets you deploy directly into your VPC, reaching internal services that are hiding behind VPNs, VPCs, and firewalls. This means your data analysis agent can finally connect to that production database on the corporate network without your dev having to mess around with port forwarding or exposing sensitive endpoints. It's Kubernetes-native, so you can deploy with a simple git clone and apply script. Instant rollback is built in, so if something goes sideways, you're back to a working state in seconds.

Least Privilege and Prompt-Injection Defense

Every agent runs under the principle of least privilege, meaning they only get access to exactly what they need and nothing more. Static policies and a policy agent inspect every single tool call before it executes. If an agent tries to do something outside its scope, like emailing a partner when it's only supposed to read repos, that action gets dropped instantly. Secrets stay hidden from the model, which is your best defense against prompt injection attacks. If a bad actor tries to trick the agent into leaking your database credentials, the model literally can't see them. It's like giving your agents a locked toolbox where they can only use the tools you've pre-approved.

Per-Agent Budget Tracking and Cost Attribution

Stop guessing how much you're spending on AI tokens. Agyn gives you per-agent tracking with budget limits, usage alerts, and full cost attribution. You can set a hard cap for each agent, team, or workflow, and get alerts when they're getting close to the limit. Finance can finally see exactly which team is burning through the API credits and whether that experimental agent is actually worth the cost. No more surprise bills at the end of the month. You can even set up different budgets for different environments, so your dev agents can go wild while your production agents stay on a tight leash.

Team Sharing with Role-Based Access Control

Give the right employees access to the right agents without turning your security team into a bottleneck. Agyn supports role-based access control with audit logs, so you can share agents safely across teams. Your marketing team gets access to the content generation agent, but not the one that queries the customer database. Engineering gets full control over the code review agent, while the support team only gets read access. Every action is logged, so if something goes wrong, you can trace it back to exactly who did what and when. It scales as your adoption grows, keeping governance tight without slowing anyone down.

Deploying AI Agents to Production for Enterprise Teams

The classic problem: your data science team built a killer agent on their laptop that can analyze Q1 sales data, but it can't reach the production database because it's on the corporate network. With Agyn, you deploy that agent directly into your VPC. It gets access to the database, runs in an isolated sandbox, and your whole team can use it through a shared interface. No more "works on my machine" excuses. The agent is live, accessible, and fully governed with budget limits and audit trails.

Enforcing Security Policies Across All AI Tool Calls

Your company has a policy that no AI agent can email external partners or write to the production database without human approval. Agyn's policy gate enforces that automatically. Every tool call is reviewed before it runs. If the code reviewer agent tries to email a review summary to an external partner, the policy agent drops that action and logs it. If the support agent tries to query user records when it only has read access to tickets, blocked. You define these policies in code using GitOps, so they're version-controlled and consistent across every environment.

Managing AI Costs Across Multiple Teams and Projects

Your finance team is getting nervous because the AI spend is growing and no one can track where the money is going. Agyn gives you per-agent budget limits with real-time alerts. You set a $500 monthly cap for the marketing team's content agent and a $2000 cap for the engineering team's code reviewer. When the marketing agent hits 80% of its budget, an alert fires. When it hits the limit, the agent stops making API calls. Finance gets a dashboard showing exactly which team spent what on which model, making cost attribution a breeze.

Onboarding Non-Technical Teams to Use AI Agents Safely

Your HR team wants an agent that can summarize employee feedback from the internal portal, but they don't know how to set it up or secure it. Agyn lets your platform team deploy the agent with pre-configured policies and access controls. HR just gets a simple interface to ask questions. They don't see the API keys, they don't need to understand sandboxes, and they can't accidentally give the agent access to sensitive data. Engineering keeps oversight, HR gets their agent, and IT stops worrying about shadow AI.

What exactly is Agyn and how is it different from just running an agent on my laptop?

Agyn is an open-source management layer that takes AI agents off individual employee laptops and runs them safely across your entire organization. The key difference is control and security. When you run an agent locally, it has access to whatever is on your machine, including your secrets, API keys, and potentially your personal files. It can't reach internal services behind your corporate network. With Agyn, every agent runs in an isolated sandbox with least privilege access, secrets are hidden from the model, and you get full audit trails, budget controls, and role-based access. It's designed for production use, not just tinkering.

Does Agyn work with any AI model or agent framework?

Yes, Agyn is model-agnostic and agent-agnostic. It works with Claude Code, Codex, GPT-5 based systems, Gemini, and any custom agent you build. The platform handles the infrastructure, security, and governance layer, while you bring whatever model or agent framework you prefer. It's built on Kubernetes, so if you can containerize your agent, you can run it on Agyn. The policy engine and sandboxing work regardless of what model is making the calls.

How does Agyn protect against prompt injection attacks?

Agyn uses a multi-layered defense against prompt injection. First, secrets are stored in a vault and never exposed to the model itself, so even if an attacker tricks the agent into revealing information, the secrets aren't there to be found. Second, the policy agent inspects every tool call before it executes, looking for anomalous behavior like attempts to access restricted resources or follow embedded instructions. Third, the sanitize feedback policy strips injected instructions from responses before they reach the agent. This combination makes it extremely difficult for prompt injection attacks to succeed.

Can I self-host Agyn or do I have to use the cloud version?

You have both options. Agyn is open-source and Kubernetes-native, so you can self-host it on your own infrastructure. They provide a simple bootstrap script that you can run with a git clone and apply command. This is ideal for companies with strict data residency requirements or existing Kubernetes clusters. Alternatively, you can use Agyn Cloud, which is their managed offering. Both versions provide the same core features, including sandboxing, policy enforcement, budget tracking, and role-based access control.

Agyn is open-source and free to self-host on your own Kubernetes infrastructure. The core platform, including sandboxing, policy enforcement, budget tracking, and role-based access control, is available under an open-source license. For teams that want a managed experience without the operational overhead, Agyn Cloud offers a paid tier with additional features like priority support, higher uptime SLAs, and managed infrastructure. Specific pricing for Agyn Cloud is available by booking a demo on their website. There is no cost for the open-source version beyond your own infrastructure expenses.