Agentuity: AI Agent Development Platform
Agentuity helps software companies develop and deploy AI agents without building the underlying infrastructure. It supports flexible deployment options, including private cloud and on-premises setups.
At a glance
- Category
- Software Development
- Best for
- Software Companies, AI Application Developers, Teams in Regulated Industries, Enterprise AI Architects
- Pricing
- Pricing is usage-based, starting with $5 in free credits. Costs include $0.02 per session, $0.20 per 1,000 storage commands, $0.03 per GB bandwidth, and $0.014 per GB storage.
- Key use cases
- Regulated Industry Deployment, Edge-Based Decisioning, Financial Systems Integration, Multi-Agent Orchestration
- Integrations
- Email, SMS, Chat platforms, Webhooks, Cron jobs
- Official website
- agentuity.com
Agentuity is a full-stack platform designed for the development and deployment of autonomous AI agents. It provides an environment that includes a runtime, orchestration tools, and storage services intended for agentic workflows.
The tool is designed for software companies and developers moving agents from prototype to production. It supports multiple deployment models, allowing users to run agents in a public cloud, a private VPC, or on-premises for data sovereignty.
Capabilities include built-in APIs, React frontends, and isolated sandboxes for executing untrusted code. It also includes observability tools using OpenTelemetry to track prompts, responses, and costs.
Buyers should confirm that the platform is early-stage, founded in early 2025. While it provides security features such as FIPS 140-3 compliance, some formal certifications like SOC 2 are listed as in progress.
Key Features
Supports deployment across public cloud, private cloud (VPC), on-premises, and edge environments.
Provides containers to run untrusted code that are created, executed, and destroyed via a function call.
Agents can access Redis, Postgres, vector, and object storage from within the agent context.
Provides tracing and logging for session-based debugging, including LLM span data and token costs.
Supports deployment of React apps with end-to-end type safety between agents and components.
Acts as a proxy between agents and LLM providers for routing, security controls, and monitoring.
Use Cases
Using VPC or on-premises deployment to keep LLM tokens and data within a network boundary for healthcare or government needs.
Deploying agents to retail store devices for point-of-sale decisions with central coordination.
Running agents near core banking systems with zero external egress and TPM-backed hardware identity.
Coordinating tasks and managing state across multiple AI agents using specialized infrastructure.
Best For
Integrations
Pricing
Pricing is usage-based, starting with $5 in free credits. Costs include $0.02 per session, $0.20 per 1,000 storage commands, $0.03 per GB bandwidth, and $0.014 per GB storage.
FAQ
Agentuity supports public cloud (GCP), private cloud (VPC), on-premises, multi-cloud, and edge deployments.
The platform does not train on customer data and uses TLS 1.2/1.3 and AES-256 encryption. Data is ephemeral by default unless persistence is opted into.
It uses a usage-based model starting with $5 in free credits. Charges include per-session fees, storage command fees, bandwidth, and storage volume.
Source category: Software Development
Source subcategory: AI Agent Platform
