
Agentuity
Full-stack platform for deploying and running AI agents
About Agentuity
Agentuity is infrastructure for the part of agent work that nobody demos: getting one into production and keeping it there. Building an agent that works on your laptop is a weekend. Giving it an authenticated API, a frontend, a database, somewhere to run untrusted code, and a deployment story is the part that quietly consumes a quarter.
The platform bundles those pieces rather than making you assemble them. APIs arrive as type-safe Hono routes that auto-generate React hooks, with authentication, rate limiting and OpenAPI docs already wired. Frontends deploy as React apps with end-to-end type safety from the agent to the component, including streaming and real-time updates. Agents can reach Redis, Postgres, vector and object storage as tools from inside their own context, and sandboxes are available for code execution. The obvious tension with any platform this integrated is lock-in: the more of the stack you take, the more it costs to leave, and that is a real consideration rather than a hypothetical one. Billing is usage-based in units the site calls ACUs, with a public calculator and $5 of credits to start, so the cost is at least inspectable before you commit.
You build your agent against the platform's SDK and deploy with a single command. The API layer generates typed routes and matching client hooks, so the frontend and the agent share types rather than drifting apart. State lives in whichever storage the agent reaches for, ephemeral or persistent, addressed as a tool from inside the agent context rather than as separate infrastructure you provision. When the agent needs to run code it was not written to trust, it uses a sandbox. Deployment, authentication, rate limiting and docs come from the platform rather than from your own scaffolding, and usage accrues in ACUs that the calculator on the pricing page will estimate before you start.
- •One Command Deploy - Agent, API and frontend ship together rather than as three separate deployment problems
- •Type Safety End to End - Hono routes generate React hooks, so agent and UI cannot drift out of sync silently
- •Storage as Agent Tools - Redis, Postgres, vector and object storage reachable from inside the agent's context
- •Built-In Sandboxes - Somewhere to execute code without standing up separate isolation infrastructure
- •Auth and Rate Limiting Included - The unglamorous production requirements are present by default, not bolted on
- •Usage-Based Pricing With a Calculator - Costs are estimable before you build, starting with $5 in credits
Small teams and solo builders shipping an agent as an actual product, who would rather not spend a quarter building deployment plumbing that has nothing to do with their idea. It suits people comfortable adopting an integrated platform and its conventions. If you already run Kubernetes, have opinions about your API layer, or need the agent to sit inside existing infrastructure, a bundled platform will fight you and assembling the pieces yourself is the better call. Evaluate the lock-in honestly: the value here is precisely that the parts are joined together, which is also what makes them hard to separate later.
Pricing
Usage based, no flat monthly plan
Starts with $5 in free credits, then usage-based billing measured in ACUs with a public calculator. No seat fee published.
From the vendor pricing page, 2026-09-15













