Agyn

Agyn is the open-source management layer that transforms AI agents from isolated experiments on employee laptops into secure, scalable, organization-wide tools. It is the missing infrastructure that enables companies to safely deploy AI agents into production environments where they interact with real data, internal systems, and sensitive workflows. Built for the moment when AI stops being a side project and starts touching production data, Agyn provides the security, financial, and operational controls that security, finance, and IT teams demand before giving their approval. Every agent runs in an isolated sandbox, secrets remain hidden from the model, and each team gets its own spend cap, role-based access, and a complete audit trail. Agyn works with any agent framework, including Claude Code, Codex, and custom builds, and supports any model. It is Kubernetes-native and can be self-hosted or run in the cloud. Non-technical teams get agents they can actually use, engineering maintains full oversight, finance sees every dollar spent on tokens, and IT stops worrying about shadow AI. If your company is moving from agent experiments to agents in production, Agyn is the layer that makes it possible, delivering a 72.2% issue resolution rate on SWE-bench Verified, ranking number one among GPT-5-based systems.

Multi-Environment Private Network Deployment

Deploy agents into any environment or private network, reaching internal services behind VPNs, VPCs, and firewalls. This feature enables agents to access corporate databases, internal APIs, and private services that are otherwise unreachable from employee laptops. With instant rollback capabilities and the ability to ship into your VPC in minutes, your agents operate where your data lives, not just where your developers work.

Least Privilege Security with Policy Gate

Every agent runs under least privilege principles with static policies and a policy agent that inspects every tool call before execution. Secrets stay hidden from the model, defending against prompt injection attacks and sensitive data leaks. The policy gate reviews every action in real time, allowing, blocking, or escalating requests based on predefined rules. This includes planner-executor splits, sanitized feedback to strip injected instructions, and human escalation for ambiguous or high-risk actions.

Per-Agent Budget Tracking and Cost Attribution

Track spend across agents, teams, and workflows with granular per-agent tracking. Set budget limits, receive usage alerts, and maintain complete cost attribution for every token consumed. Finance teams gain visibility into every dollar spent on AI operations, while engineering teams can optimize agent usage based on actual costs. Budgets and alerts ensure that AI spending stays under control as adoption grows across the organization.

Team Sharing with Role-Based Access Control

Give the right employees access to the right agents and share them safely across teams with role-based access control. Complete audit logs track every action taken by every user, keeping usage governed as adoption scales. This feature transforms agents from individual productivity tools into shared organizational resources that can be deployed, monitored, and managed across departments without compromising security or compliance.

Secure Enterprise Data Analysis

Deploy a data analysis agent that connects directly to your production database behind a corporate network. The agent runs in an isolated sandbox within your VPC, accessing only the data it needs under strict least privilege policies. Non-technical team members can request natural language analysis of Q1 sales data, while the policy gate ensures no unauthorized data extraction or modification occurs. Finance tracks every token used, and IT maintains complete visibility into database access patterns.

Automated Code Review and PR Management

Deploy a code reviewer agent using Codex or Claude that reads repositories, comments on pull requests, and sends email notifications. The agent operates under strict scopes, with the policy gate blocking any attempt to access external networks or perform actions outside its defined role. Engineering teams gain automated code review at scale, while security teams rest easy knowing the agent cannot exfiltrate code or interact with unauthorized systems.

Customer Support Agent with Escalation

Deploy a support agent that reads tickets, queries internal databases, and sends email replies to customers. The agent runs with least privilege, accessing only the specific database tables and ticket systems it needs. When the policy gate detects ambiguous or high-risk actions, such as modifying user records or sending sensitive information, it escalates to a human operator. Support teams handle more tickets while maintaining complete control over sensitive customer data.

Cross-Team Research and Knowledge Management

Deploy a research agent that browses the web, summarizes findings, and shares results across teams. The agent operates under strict budget limits and role-based access controls, ensuring that different teams can only access research relevant to their work. Finance sees exactly how much each research project costs in tokens, while IT monitors for any attempts to bypass internal network restrictions or access unauthorized external resources.

Can Agyn work with any AI agent framework or model?

Yes, Agyn is designed to be model-agnostic and framework-agnostic. It works with Claude Code, Codex, custom-built agents, and any other agent framework. You can use any model you prefer, including GPT-5, Claude, Gemini, or open-source alternatives. Agyn provides the management layer that sits above your agents, regardless of how they are built or which model powers them.

How does Agyn protect against prompt injection attacks?

Agyn employs multiple layers of defense against prompt injection. The policy gate inspects every tool call before execution, blocking actions that fall outside the agent's defined scope. Secrets are stored in a vault and never exposed to the model, so even if an injection attack succeeds, sensitive credentials remain protected. Additionally, the sanitize feedback feature strips injected instructions from model responses, preventing attackers from hijacking agent behavior through crafted inputs.

Is Agyn available as a self-hosted solution?

Yes, Agyn is open-source and Kubernetes-native, meaning you can self-host it entirely within your own infrastructure. The bootstrap process is simple with a single git clone and apply command. For organizations that prefer a managed solution, Agyn Cloud is also available. Both options provide the same security, budget tracking, and access control features, with the cloud version handling infrastructure management for you.

What kind of audit trail does Agyn provide?

Agyn provides a complete audit trail for every action taken by every agent and every user. This includes all tool calls made by agents, whether they were allowed or blocked by the policy gate, which user initiated the request, how many tokens were consumed, and the cost attributed to that action. The audit trail is immutable and searchable, making it easy for security teams to investigate incidents, finance teams to verify costs, and compliance teams to demonstrate regulatory adherence.