Managed agent runtime
A managed runtime lets teams deploy agents without assembling the backend from separate services.
GreenNode AgentBase
ReclamarGreenNode AgentBase is a fully managed AI agent platform for enterprise teams that need centralized control over deployment, access, memory, and observability. It is built to run agents across different frameworks at production scale.
Overview
GreenNode AgentBase is a fully managed platform for deploying and operating AI agents. It is designed for enterprise use cases where teams need centralized control over identity, access, network boundaries, memory, and observability while running agents in production.
The product page describes AgentBase as a platform for deploying any agent, on any framework, at any scale. Its modules combine runtime, access control, memory, insight, gateway, and tool handling so teams can focus on the agent itself instead of wiring the supporting infrastructure.
Core capabilities
Identity and access management
Access control is built in so teams can define which agent can reach which system and under what policy.
Shared context memory
Persistent memory keeps context across sessions and users, which is useful for agents that need continuity.
Real-time insight
Observation and tracking surface agent activity and behavior for production monitoring and review.
Tool and API connectivity
Gateway and tool modules connect agents to APIs and other resources, turning external systems into agent-ready tools.
Framework flexibility
The platform is described as framework-agnostic, allowing deployment of agents built on different stacks.
Where it fits
Production agent deployment
Use AgentBase when you need a managed environment for deploying production agents without building the runtime and control layers from scratch.
Controlled system access
Use the platform when an agent must connect to internal systems or APIs with explicit access policy and network boundaries.
Persistent, monitored workflows
Use the memory and insight modules when an agent needs to remember context across sessions and be observable during operation.
Tool-enabled automation
Use the gateway and tool modules when you want to expose existing APIs as agent-ready tools quickly.
Pros and Cons
Pros
- Fully managed deployment reduces the amount of infrastructure teams need to assemble themselves.
- Centralized controls cover access policy, network boundaries, and agent connections.
- Persistent memory supports workflows that need context across sessions.
- Observation tools help teams monitor agent behavior in production.
- The platform is presented as usable across different agent frameworks.
Cons
- The public product text is high level and does not spell out detailed limits, supported frameworks, or setup steps.
- Pricing and signup details are shown, but the full pricing structure is not fully explained on the product page.
FAQ
What is GreenNode AgentBase used for?
Yes. GreenNode positions AgentBase as a fully managed platform for deploying and operating AI agents, with modules for runtime, access control, memory, insight, gateway, and tools.
Can AgentBase work across different agent frameworks?
The source describes AgentBase as suitable for deploying any agent on any framework at any scale, with centralized control over agent connections, access policy, and network boundaries.
What does AgentBase add beyond basic agent deployment?
AgentBase includes modules for access control, persistent memory, real-time observation, and tool connectivity, which are intended to support production use rather than only prototyping.
How is AgentBase priced?
The pricing page lists AgentBase starting at 2,356 VND/hour. The product page also says to contact the team for signup and further details.
Quick Facts
- Category
- AI agent platform
- Product type
- Fully managed service
- Primary users
- Enterprise teams building AI agents
- Source domain
- greennode.ai
- Pricing
- Starting at 2,356 VND/hour
- Deployment scope
- Any agent, any framework, any scale