Opencontroller by Lyzr vs ZergRouter: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Opencontroller by Lyzr and ZergRouter — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Opencontroller by Lyzr
Lyzr AI
Lyzr Opencontroller is a unified control plane to discover, deploy, govern and monitor AI agents across any cloud, framework, model and runtime.
Key features
- Agent Discovery: Automatically finds agents, models, tools, data and workflows across multi-account clouds, SaaS vendors, Kubernetes and devices.
- In-Path Policy Enforcement: Blocks an agent's call in the request path when policy says no, rather than only alerting after the fact.
- Deployment Into Your Infrastructure: Deploys agent containers into your own cluster or into Bedrock, Vertex and Foundry runtimes under your keys.
- Governed Promotion: Ordered environment promotion with separation of duties for production and immutable versions with pointer-based rollback.
- Cross-Vendor Governance: Enforces policies on agents running in other vendors' clouds, framework- and model-agnostic.
- Real-Time Monitoring: Monitors agents, applications, APIs and infrastructure from one control plane.
- Auditability: Every identity attributable and every decision traceable for compliance evidence.
- Continuous Improvement Insights: Turns real-world usage, performance, cost and security signals into actionable recommendations.
Best for
- Taming Agent Sprawl: CIOs inventory every agent running across clouds, teams and SaaS tools in one view.
- Regulated Deployment: Banks and insurers enforce separation of duties and audit trails before agents reach production.
- Runtime Guardrails: Security teams stop agents from executing policy-violating calls in real time.
- Multi-Cloud Agent Operations: Platform teams deploy and roll back agent containers across AWS, Google Cloud and Azure runtimes.
- Sovereign AI: Organizations keep agent control inside their own cloud with no traffic sent to the vendor.
- Cost & Performance Optimization: AI leads use usage and cost signals to improve agent fleets over time.
ZergRouter
Zerg AI
Model router that lets you run DeepSeek in Codex and other coding tools via one endpoint, with API key budgets and Codex quota tracking.
Key features
- Single Router Endpoint: One OpenAI-compatible endpoint (/v1) that connects Codex, OpenCode, Pi and other compatible apps to your chosen models.
- DeepSeek in Codex: Run DeepSeek 4.1 Flash inside Codex through native Responses API forwarding.
- API Key Budgets: Scoped Router keys with daily budgets and monthly usage caps to control spend.
- Fallback Chains: Configure explicit fallback routes for supported chat requests.
- Codex Quota Monitoring: Compare connected Codex accounts by remaining weekly quota, reset dates and banked resets, with stale data flagged.
- Usage Analytics: Explore routed usage by model, date and client, including input, cached input and output tokens.
- Bring Your Own Keys: Use your own provider credentials, billed directly by the provider.
Best for
- Cheaper Coding Agents: Swapping Codex's default model for low-cost DeepSeek for routine coding tasks.
- Team Spend Control: Issuing budgeted Router keys to developers to cap daily API costs.
- Multi-Account Codex Management: Choosing which Codex subscription to use based on remaining quota and reset times.
- Provider Failover: Keeping coding tools working by routing to fallback models when a provider is unavailable.
- Usage Auditing: Tracking which clients and models consume tokens over time.