01 / The platform path
One MCP control plane from idea to governed execution
Your team can design and operate agents conversationally, trigger them from delivery systems, or run them on a schedule. Every path passes through the same Wardby controls before a model, tool, repository, or dollar is touched.
02 / The reusable harness
Six agent systems. One operational contract.
Your framework becomes a managed suite rather than six unrelated scripts. Each agent can use Codex, Claude, or a native model flow while inheriting the same budgets, permissions, evidence, and operator-defined review policy.
Delivery Pipeline
Turns an approved request into a plan, implementation, tests, review, and a draft pull request.
Architecture Review
Examines the codebase for architecture, privacy, accessibility, reuse, coverage, and structural risk.
Security Maintenance
Finds vulnerable components, separates safe fixes from breaking changes, verifies, and proposes a patch.
QA End to End
Maps customer journeys, ranks coverage gaps by risk, and incrementally builds the missing test suite.
System Monitoring
Turns production signals into a clear defect, evidence package, escalation, and approved follow-up work.
Project Tracking
Pulls actuals, budget, schedule, ownership, and progress into one live view with early drift detection.
03 / Centralized budget intelligence
Know who spent it, why, and for which feature
Shipped today: hard per-run limits and shared daily, weekly, or monthly budget groups that stop additional model work at the cap. Next, with a work-tracking connector, a feature key can travel with the request into Wardby. Every child agent and model call inherits that context, so reserved budget and final agent expense can roll up to the owning feature, epic, team, and portfolio. The example below shows the target Jira pattern.
Scope: this view attributes Wardby-managed agent and model expense. Labor, infrastructure, or other delivery costs appear only when imported from their source systems. Jira integration is shown as the target connector pattern, not as a claim that the connector is currently shipped.
04 / What the team receives
Autonomy with a receipt
Wardby does not replace engineering judgment. It makes delegated work repeatable, bounded, and easy to inspect, whether the result is code or an operational decision.
05 / Boundaries you can verify
Self-hosted, provider-neutral, and honest about scope
Wardby does not replace your agent frameworks, gateways, or observability tools. It is the operating boundary around them, and it runs in infrastructure you control.
Security boundaries
- Sandboxed tools: native tools run in constrained QuickJS with controlled fetch and secrets.
- Isolated coding workers: hardened containers with resource limits and reviewed egress.
- Protected remote MCP: HTTP is an OAuth 2.1 resource server; stdio trusts the local operator.
- Sanitized operations: events and metrics exclude prompts, code, diffs, and credentials.
Host it in your cloud
- Local Docker, VM, or on-prem: portable PostgreSQL and container workflow.
- Production baseline: separate runtime and migration images with a Compose/Caddy boundary.
- GKE Autopilot: supported reference with private Cloud SQL and isolated worker pods.
- AWS and other clouds: portable runtime and Bedrock adapter; native AWS module planned.
Bring your own observability
- Prometheus metrics on a private
/metricsendpoint, pulled by your collector. - A local Prometheus and Grafana profile with cost, budget, and run dashboards.
- Scrape into AWS CloudWatch, Google Cloud Monitoring, or any Prometheus-compatible platform.
Where Wardby fits
- Repository automation, agent frameworks, and coding agents run the work.
- Gateways and provider dashboards see model calls; observability tools trace them.
- Wardby adds owned agents, admission-time budgets, scoped capabilities, and run history across them.
- Budget views cover Wardby-managed work, not every AI expense in an organization.
Run locally in five minutes
Start without cloning Wardby
Bring Node.js 24, Docker, and an OpenAI or Anthropic API key. Quickstart launches PostgreSQL, creates a $1 demo agent, and can connect Claude Code or Codex through MCP.
npx --yes @wardby/cli@latest quickstart
Use Claude Code or Codex to call capable agents without memorizing deployment, identity, and budget mechanics.
Scale repeatable agent workflows across teams while retaining cost, risk, and outcome visibility.
Run one self-hosted control plane across approved models, builders, CI systems, and cloud boundaries.