Scaling AI agent prototypes into production can take weeks or months due to complex custom infrastructure and multiple frameworks/models.

AI AgentBase is a fully managed platform that securely deploys and operates capable AI agent at scale, providing enterprise-grade infrastructure for production, security, and observability.

Overview

AI AgentBase consists of six modular services: Runtime, Access Control, Insight, Memory, Gateway, and Tool. Each module operates independently or collaboratively to deliver essential functionality for your AI agent ecosystem.

Securely run and scale

Serverless runtime to deploy and scale dynamic AI agents and tools without managing infrastructure.

Compatible with any open-source framework and multiple foundation models
Supports HTTP, MCP, and A2A for agent interactions and coordination
Built-in authentication for enterprise-grade security

Manage identity and access

Access Control securely enables agents to access internal and external systems.

Support U2M and M2M authorization
Integrate with existing identity providers
Automate credential handling and token expiration

Real-time observation and tracking

Monitor and analyze every agent action to improve reliability with Agent Insight.

Visualize decision-making paths and actions during each session
Capture latency, token usage, error rates, and resource patterns
Seamless integration with existing monitoring tools

Power intelligent agents with persistent context

Build context-aware agents without memory infrastructure complexity with Agent Memory.

Short-term memory: Multi-conversation context within sessions
Long-term memory: Persistent across sessions for preferences, facts, and patterns

Connect with tools and resources

Agent Gateway transforms existing APIs into agent-ready tools with secure access.

Delivers agent-ready capabilities to manage, secure, scale, monitor, and govern your LLM Models, MCP servers, and REST APIs
Enhance the capabilities for management system with advances features.

Build AI agent for specific tasks

Create AI agent for document search, web search, or support tasks using RAG engine, code interpreter, browser tools and MCP servers.

Why AgentBase matters

Unlike traditional AI deployments that require custom infrastructure and extensive engineering, AgentBase provides a fully-managed, secure, and scalable platform, helping your teams move from prototype to production faster with lower risk and overhead.

	With AgentBase	Without AgentBase
Time to production	Short Ship agents in days with one-click deploy, managed runtime, and auto-versioning	Long Takes weeks or months due to manual infra setup, version drift, and DevOps overhead
Reliability & Scalability	High Self-healing runtime, persistent sessions, and serverless autoscaling	Low Crashes reset state, manual restarts needed, fixed compute leads to latency
Identity & Access Control	Secure Built-in IAM, vault for secrets, fine-grained permissions, full audit logging	Risky Shared keys, inconsistent authentication, no centralized control or audit trail
Monitoring & Debugging	High visibility End-to-end traces, reasoning-path visualization, unified monitoring	Low visibility Scattered logs, no insight into decisions, slow and painful debugging
Memory & Context Handling	More consistent Managed short-term and long-term memory with high recall accuracy	Less consistent No persistent memory, manual storage hacks, unreliable outputs
Integration Flexibility	High flexibility Turn any API into secure agent-ready tools with guardrails & schema handling	Low flexibility Custom integrations per system, brittle scripts, high maintenance burden
Built-in Agent Tools	Powerful RAG engine, code interpreter, browser tools, search modules ready to use	Limited Re-built for every project, duplicated effort, hard to maintain reliably

With AgentBase

Without AgentBase

Time to production

Short

Ship agents in days with one-click deploy, managed runtime, and auto-versioning

Long

Takes weeks or months due to manual infra setup, version drift, and DevOps overhead

Reliability & Scalability

High

Self-healing runtime, persistent sessions, and serverless autoscaling

Low

Crashes reset state, manual restarts needed, fixed compute leads to latency

Identity & Access Control

Secure

Built-in IAM, vault for secrets, fine-grained permissions, full audit logging

Risky

Shared keys, inconsistent authentication, no centralized control or audit trail

Monitoring & Debugging

High visibility

End-to-end traces, reasoning-path visualization, unified monitoring

Low visibility

Scattered logs, no insight into decisions, slow and painful debugging

Memory & Context Handling

More consistent

Managed short-term and long-term memory with high recall accuracy

Less consistent

No persistent memory, manual storage hacks, unreliable outputs

Integration Flexibility

High flexibility

Turn any API into secure agent-ready tools with guardrails & schema handling

Low flexibility

Custom integrations per system, brittle scripts, high maintenance burden

Built-in Agent Tools

Powerful

RAG engine, code interpreter, browser tools, search modules ready to use

Limited

Re-built for every project, duplicated effort, hard to maintain reliably

AgentBase simplifies AI agent production at scale

From prototype to production, AgentBase streamlines AI agent deployment, orchestration, and monitoring so you can focus on delivering value to clients.

Chatbot & Virtual assistant

Why does my chatbot give wrong or unexpected answers at times? And why did my token costs increase sharply this month?

->AgentBase helps teams deploy AI chatbots and virtual assistants with seamless integration into enterprise systems like CRMs, ERPs, and knowledge bases.

💡Higher answer accuracy, stable costs, and a chatbot that improves instead of breaking as workloads grow.

Autonomous agents

Why can’t the agent complete multi-step tasks reliably? Why does workflow automation fail when APIs change?

->AgentBase empowers teams to build agents that can automate multi-step processes with simple connection with client APIs and SaaS platform.

💡More reliable automation, fewer manual handoffs, and workflows that scale without constant engineering fixes.

Embedded AI features

Why is our in-app AI search returning irrelevant results? Why do we need to rebuild RAG pipelines for every feature?

->AgentBase embeds intelligence directly into your applications using built-in tools such as RAG search, natural-language querying, and decision-making engines.

💡Smarter enterprise apps, faster feature delivery, and AI that delivers real value to users.

FAQs

What challenges does AI AgentBase solve?

While building a proof-of-concept AI agent might take only a few weeks using popular open-source frameworks, transforming that prototype into a production-ready system typically requires months of additional infrastructure development, security implementation, and operational tooling.

AI AgentBase systematically addresses four critical production challenges:

Secure & Scalable Infrastructure: it solves infrastructure scalability and security by providing serverless auto-scaling environments where each agent runs in isolated micro-VMs, preventing data leakage while automatically handling concurrent workloads and long-running tasks.
Identity & Access Management: it manages identity and access complexity through seamless integration with enterprise identity providers, providing secure token vaults and automatic credential management with comprehensive audit trails.
Integration Complexity: it eliminates integration complexity by converting existing REST APIs into agent-ready MCP endpoints through the Gateway module, which handles all authentication and schema validation automatically.
Agent Observability: it provides production-grade observability with detailed execution traces showing step-by-step agent reasoning, comprehensive performance metrics, and OpenTelemetry-standard instrumentation that reduces debugging time by approximately 50%.

Who is GreenNode AI AgentBase designed for?

The platform is designed for enterprises and professional teams that need to operationalize AI agents responsibly and efficiently. This includes AI engineering teams, enterprise IT departments, ISVs, digital transformation teams, and organizations operating in regulated sectors such as banking, insurance, healthcare, retail,...

GreenNode AI AgentBase is particularly suited for teams who need to integrate AI agents from proofs of concept with existing systems, automate complex workflows, or support multi-agent decision-making while meeting strict requirements for security, compliance, and system reliability.

What modules/services are included in the AgentBase platform?

AI AgentBase consists of six modular services:

Engine (Runtime): Serverless deployment engine to run and scale AI agents in secure, isolated micro-VMs with auto-scaling capabilities.
Access Control: Secure resource access management enabling agents to authenticate with external systems, integrated with identity providers and secure token vault.
Context: Fully managed context and memory service providing both short-term (session-based) and long-term (cross-session) memory for personalized agent experiences.
Gateway: Intelligent tool discovery and API conversion service that transforms REST APIs into agent-ready MCP endpoints with semantic search capabilities.
Insight: Comprehensive monitoring and debugging with detailed execution traces, performance metrics, and OpenTelemetry-standard instrumentation.
Built-in Tools: Pre-integrated capabilities including RAG Engine (knowledge retrieval), Code Interpreter (dynamic code execution), Browser Tool (web interaction) and MCP Server.

Each module operates independently or collaboratively, enabling seamless integration with existing enterprise systems without architectural overhaul.

Which agent framework does AgentBase support?

AI AgentBase supports custom frameworks and any open-source framework including LangGraph, CrewAI, LlamaIndex, AutoGPT, MetaGPT, and Strands Agents.

This flexibility ensures no vendor lock-in, allowing teams to build with familiar tools, leverage existing code, and switch frameworks as technology evolves without platform constraints or rewrites.

What open source protocols does AgentBase support?

AI AgentBase supports a multi-protocol environment for its runtime, including HTTP, MCP, and A2A. Furthermore, for comprehensive monitoring and debugging, the platform embraces open standards by implementing OpenTelemetry Standard instrumentation. This ensures seamless integration with existing enterprise monitoring tools.

What is the core value proposition of the GreenNode AI AgentBase?

The core value proposition centers on empowering developers and accelerating business impact:

Ultimate Flexibility: It offers support for any framework or model, ensuring teams can build with the tools they already know and trust without vendor lock-in.
Scale Confidently: The auto-scaling serverless architecture reliably handles concurrent workloads, resulting in fewer failures and higher uptime.
Enterprise Security: The platform is built with strict requirements in mind, featuring built-in isolation, identity management, and comprehensive compliance controls.
Focus on Innovation: By managing the complex infrastructure and operational tooling, the platform eliminates undifferentiated heavy lifting, allowing developers to concentrate on creating unique business value.
Accelerate Debugging: Full observability, including detailed traces, metrics, and logs, is provided for rapid troubleshooting and agent optimization.

How does AgentBase accelerate the development of agentic AI applications?

The AgentBase significantly accelerates agentic AI development by providing an enterprise-grade, secure, and fully managed environment from the outset. By providing a standardized, auto-scaling, and unified API setup, it achieves an estimated 80% faster setup and greatly reduces the DevOps workload required to move a prototype to production. Developers are freed from having to build months of custom infrastructure and security tooling, enabling them to focus exclusively on agent logic and innovation.

Accelerate your AI agent from prototype to production