Feature Overview
Below are the list of features that available in GL AIP
🔐 Privacy & Deployment
Enterprise-grade security with flexible deployment options. Deploy on-premise or VPC with anonymized data handling, secure logging, and full compliance—supporting both open-source and proprietary LLMs.
Key features
Flexible deployment (On-Prem / VPC) Deploy securely in your own infrastructure to meet data residency and compliance requirements.
Anonymized PII data handling Automatically protect sensitive user data by anonymizing personally identifiable information.
Anonymized logging Maintain full observability without exposing sensitive or user-identifiable data.
Open-source & proprietary LLM support (35+ LLMs) Choose the best model for each use case with broad support across open and proprietary LLMs.
Observability Gain deep visibility into agent behavior, performance, and system health.
FIPS compliance Meet strict security standards required by regulated and enterprise environments.
🤖 Agents
Designed for complex, real-world agent workflows. Build, orchestrate, and manage multiple agents with memory, scheduling, and human-in-the-loop control.
Key features
Create Agents Quickly define and configure new agents with instructions, tools, and models tailored to your use case.
List Agents View and manage all existing agents across environments.
Update Agents Modify agent configurations, tools, and instructions.
Delete and Restore Agents Safely remove agents when no longer needed—and restore them when required to prevent accidental loss.
Run Agents Execute agents on demand or programmatically to perform tasks, answer queries, or coordinate workflows.
Runtime Overrides and PII Apply runtime-level overrides to control behavior, redact sensitive data, and enforce PII handling policies.
Chat History Maintain conversation context across sessions to improve continuity, traceability, and user experience.
Multi-agent orchestration (including A2A) Coordinate multiple agents that collaborate, delegate, and communicate autonomously.
25+ built-in agents Accelerate development with pre-configured agents for common tasks and domains.
Tool Output Sharing Control whether outputs such as tables, files, and intermediate results can be shared with downstream agents or collaborators—ensuring data isolation, security, and workflow clarity.
Human-in-the-Loop (HITL) Insert human review and approval into critical decision points.
Scheduler Automate agent execution with time-based or recurring schedules for hands-free workflows.
Memory Enable agents to retain context, learn from past interactions, and improve responses over time.
Audit trails Use run history to trace PII usage, artifact creation, and tool activity.
Planning Mode Allow agents to break down complex objectives into structured, multistep execution plans.
Export and Import Easily export agent configurations across environments for reuse, backup, or collaboration. And easily to import during agent creation/update.
Guardrails Implements guardrails to enhance agent content safety and compliance.
And many more
🧰 Tools
Powerful tools to extend agent capabilities out of the box. Leverage a rich ecosystem of built-in and custom tools to enable browsing, code execution, and advanced workflows.
Key features
Create Tools Define new tools that agents can invoke to perform actions, fetch data, or execute workflows.
Update or Re-upload Tools Easily modify tool logic, schemas, or implementations without disrupting existing agents.
Delete Tools Remove unused or deprecated tools to keep environments clean, secure, and maintainable.
250+ built-in tools (powered by GL Connectors) Instantly extend agent capabilities with a rich library of pre-integrated tools for common systems and services.
Code interpreter Allow agents to execute code, perform calculations, analyze data, and generate structured outputs in real time.
Browser use Enable agents to browse the web, extract information, and interact with live online content.
MCP support (100+ MCPs powered by GL Connectors) Standardize tool access using Model Context Protocol for consistent agent behavior.
Custom tools Build and integrate proprietary tools tailored to your internal systems, APIs, and workflows.
And many more
🔌 Extensibility & Integration
Seamlessly integrate with existing systems and workflows. Built for developers with SDKs, APIs, and support for modern orchestration frameworks.
Key features
SDK-ready Build faster with developer-friendly SDKs for rapid customization.
API-ready Integrate agents easily into existing products, services, and pipelines.
CLI Slash Command Use simple slash commands to run agents, manage accounts, see run history and execute operations quickly—without leaving your terminal.
Langflow integration Design and visualize agent workflows using popular orchestration tools.
Legacy app integration Connect modern AI agents with existing enterprise systems.
Multi-account management Manage multiple account to support multi-tenancy across environment.
And many more
🧠 Multi-Agent System Patterns
Flexible patterns for scalable agent collaboration. Choose the right orchestration strategy for your use case—from simple routing to complex aggregation.
Key features
Hierarchical pattern Agents are organized in a tree-like structure, with higher-level agents (supervisors) coordinating specialist agents.
Parallel pattern Multiple agents tackle independent subtasks simultaneously to reduce overall latency.
Sequential pattern A linear workflow where each agent processes the output from the previous agent, ideal for intent refinement, multi-step validation, or staged content creation.
Router pattern A central agent inspects each request and routes it to the most appropriate specialist agent based on content and context.
Aggregator pattern Agents contribute specialized outputs that are collected and synthesized by an aggregator agent into a single, well-formatted result.
Loop pattern Agents contribute specialized outputs that are collected and synthesized by an aggregator agent into a single, well-formatted result.
📁 File & Multimodal Support
Work seamlessly across formats and modalities. Enable agents to understand and process documents, web data, and rich media.
Key features
Web content
Audio*
Video*
And many more
*Coming soon
Last updated