Reduce sprawl
Identify every agent to understand what’s running—and what’s reusable.
Identify every agent to understand what’s running—and what’s reusable.
Validate AI investments by tracking performance over time.
Track every token by agent, team, and model—and deploy automated fixes to reduce cost.
You don’t need another agent builder. Guild lets teams run and control any agent from any framework—directly from our CLI or natively in the app.
Centralize agent management and accelerate deployment with reusable credentials, integrations, and guardrails to help every engineer run faster.
Don’t pay for what you can build. Moderate and publish all your skills and agents to an internal catalog—or connect and fork any agent from our library in minutes.
Expedite time-to-value with rapid deployments that integrate seamlessly with existing workflows.

Every enterprise needs a centralized way to run its agents. Explore the four factors that shape the build versus buy decision: cost, complexity, resourcing, and time-to-value.
Guild isn’t just extensible, it’s neutral by design. Connect everything your team runs on—from model to data source. No migrations required.
Guild keeps you flexible, so agents aren’t tied to a single model vendor or setup.
See all modelsFrequently asked questions
Guild gives CTOs one platform to make every AI agent across the organization observable, governable, and discoverable. It reduces shadow AI, centralizes governance, and reports ROI across every agent, without forcing engineering teams to change how they build.
Guild catalogs every AI agent in the organization, wherever it was built and whatever framework it uses, with an owner for each. Leadership gets a single inventory of what is running and what is reusable, instead of hunting through team-by-team tools.
Yes. Guild's control plane applies credentials, permissions, and audit logging at runtime, regardless of who built the agent or which framework they used. Policy is set once, centrally, and the runtime enforces it uniformly across every team's agents.
Guild's usage dashboard attributes spend and tokens to every agent, team, user, and model, compares each period with the last, and forecasts spend against budget. That turns AI reporting from anecdotes into numbers a CTO can take to the board, per agent and over time.
Guild sets spend budgets per workspace, agent, or user: admins are notified at 80% of a budget, and model calls are blocked at 100%. Guild Optimizer then recommends cheaper models, leaner prompts, and unused tools to trim, each tested against evals before it is applied.