Agyn

Agyn is the open-source management layer for AI agents, purpose-built to move agentic workflows from individual laptops into secure, governed, organization-wide deployment. As companies transition from experimental AI projects to production systems that touch sensitive data, Agyn provides the infrastructure, security, and financial controls that engineering, security, finance, and IT teams demand before giving a green light. Every agent operates within an isolated sandbox, with secrets kept hidden from the model itself, preventing prompt injection and data leakage. Each team receives its own spend cap, role-based access controls, and a complete audit trail for every action taken. Agyn works with any agent framework, including Claude Code, Codex, and custom builds, and supports any underlying model. It is Kubernetes-native, deployable via a simple git clone and apply script, and available as self-hosted or cloud. With a documented 72.2% issue resolution rate on SWE-bench Verified, ranking number one among GPT-5-based systems, Agyn is the missing layer that makes it possible to ship AI agents to any team in a company safely. It bridges the gap between non-technical teams who need usable agents and engineering teams who require oversight, all while keeping costs transparent and shadow AI under control.

Multi-Environment and Private Network Deployment

Agyn enables deployment of AI agents into any environment or private network, reaching internal services behind VPNs, VPCs, and firewalls. Agents can be deployed into your VPC in minutes, connecting to production databases, internal APIs, and corporate resources that would otherwise be inaccessible from a developer laptop. This feature supports multi-environment setups with instant rollback capabilities, ensuring agents operate where they are needed most.

Least Privilege and Security by Default

Every agent runs under least privilege principles, with static policies and a policy agent that inspect every tool call before execution. Secrets remain hidden from the model, defending against prompt injection attacks and sensitive data leaks. A policy gate reviews every action in real time, blocking actions outside defined scopes, splitting planner and executor roles, sanitizing feedback to strip injected instructions, and escalating ambiguous or high-risk actions for human review.

Per-Agent Budget Tracking and Cost Attribution

Agyn provides granular tracking of spend across agents, teams, and workflows. Set budget limits for each agent, receive usage alerts, and gain complete cost attribution for every token consumed. Finance teams can see exactly where every dollar is spent, while engineering teams can enforce spending caps to prevent runaway costs during experimentation or production use.

Team Sharing and Role-Based Access Control

Agyn allows organizations to share agents safely across teams with role-based access controls. Give the right employees access to the right agents, with usage governed by roles and permissions. Complete audit logs track every action, who performed it, and when, ensuring compliance and accountability as agent adoption scales across the enterprise.

Deploying Secure Code Review Agents to Engineering Teams

Engineering teams can deploy a code review agent powered by GPT-5 or Claude Code that has read access to repositories, can comment on pull requests, and can send email notifications, but is explicitly blocked from making external network calls or accessing production databases. The policy gate ensures every action is within scope, blocking any attempt to email code to external partners or access unauthorized systems.

Enabling Customer Support Agents with Controlled Access

Customer support teams can use an agent that reads tickets, sends email replies, and queries a limited customer database, but is prevented from accessing financial records or executing database writes. The agent runs inside the corporate network, reaching internal CRM systems, while the policy agent blocks any attempt to follow instructions embedded in customer messages that could lead to data exfiltration.

Empowering Data Analysts with Production Database Access

Data analysts can deploy an agent that reads production databases, writes summary reports, and sends emails with findings, all within strict boundaries. The agent operates under least privilege, with secrets vaulted away from the model. Budget limits prevent runaway token consumption, and every query is logged for audit purposes, allowing finance to track costs per analysis project.

Governing Researcher Agents with Web Browsing Capabilities

Research teams can deploy agents that browse the web, write summaries, and access internal knowledge bases, but are blocked from sending emails or modifying databases. The policy agent inspects every web request and summary output, sanitizing feedback to prevent injection attacks. This allows non-technical teams to leverage AI for research without creating security risks or shadow AI concerns.

What makes Agyn different from running agents on a laptop?

Running agents on a laptop creates security, access, and governance problems. Agents cannot reach internal services behind corporate networks, secrets are exposed to the model, and there is no audit trail or cost tracking. Agyn solves these issues by running agents in isolated sandboxes within your infrastructure, with least privilege policies, secret vaulting, budget controls, and complete audit logs, all while being compatible with any agent framework and model.

Can Agyn work with any AI agent framework and model?

Yes, Agyn is designed to be model-agnostic and framework-agnostic. It works with Claude Code, Codex, GPT-5, Gemini, and custom-built agents. The platform provides the management layer, sandboxing, and policy enforcement regardless of the underlying agent technology. You can deploy multiple agents using different models side by side, each with its own policies and budget.

How does Agyn handle prompt injection attacks?

Agyn employs multiple layers of defense against prompt injection. Secrets are stored in a vault and never exposed to the model. The policy agent reviews every tool call before execution, blocking actions outside the defined scope. Feedback from tools is sanitized to strip injected instructions. High-risk or ambiguous actions are escalated for human review, providing a safety net against sophisticated attacks.

Is Agyn open-source and how do I deploy it?

Yes, Agyn is open-source and Kubernetes-native. Deployment is straightforward: clone the bootstrap repository from GitHub, run the apply script, and Agyn deploys into your Kubernetes cluster. It supports both self-hosted deployments on your infrastructure and a cloud-hosted option called Agyn Cloud. The open-source nature allows for customization, while the cloud option provides managed convenience.