Feature Overview
Last update: February 3, 2026.
The GL SDK is ✨ ever-growing, with ✨ 100+ features available at your disposal. Find the highlights below, or consult the detailed feature list.
Highlights 📖
Automatically detect and mask personally identifiable information (PII) across operations. This intelligent logging system ensures that sensitive data such as names, email addresses, phone numbers, and other personal identifiers are automatically redacted or tokenized before being stored in logs, significantly reducing the risk of data exposure if logging systems are compromised. Maintain detailed operational visibility for debugging, monitoring, and analytics while ensuring compliance with privacy regulations and protecting user data integrity.
Build tailored agent systems that adapt to your tools, models, execution patterns, and governance requirements. Configure every part of an agent—from instructions, memory, and model selection to tool/MCP integrations, runtime overrides, streaming outputs, and artifact handling—within a unified orchestration layer powered by the REST API, Python SDK, and CLI. This flexibility delivers optimal performance and compliance while keeping development and operations simple and consistent.
Craft customized RAG (Retrieval-Augmented Generation) pipelines that adapt to their specific data sources, retrieval strategies, and generation requirements. Rather than being locked into rigid, one-size-fits-all solutions, you can configure every component of the pipeline—from document chunking and embedding models to retrieval algorithms and LLM integrations. This flexibility ensures optimal performance for your unique use case while maintaining the simplicity of a unified orchestration framework.
Go beyond quick answers. Instead of relying on a single search, explore a question from multiple angles, gather the most relevant information, and bring everything together into a clear, well-supported report. The reports are designed to be comprehensive, detailed, and grounded in evidence—giving users not just an answer, but a full understanding of their topic.
Build intelligent graph-based RAG systems that understand relationships between entities rather than treating documents as isolated chunks. Instead of simple keyword matching, the Knowledge Graph SDK extracts entities, relationships, and hierarchical structures from content, creating interconnected knowledge representations that preserve semantic context and enable sophisticated reasoning across connected information. This approach transforms retrieval from basic similarity search into relationship-aware discovery that follows conceptual pathways through your data.
Experience seamless, natural conversations, designed to deliver instant, human-like spoken responses. Perfect for voice agents and interactive applications, this low-latency solution transforms how users engage with AI by processing continuous audio streams for a truly dynamic and responsive interaction.
Experience a unified search that connects results from the web and third-party applications such as Google Drive, Gmail, Google Calendar, and GitHub..
Utilize our Proof-As-a-Service that enables the efficient execution of Zero-Knowledge Proofs (ZKPs) within a Trusted Execution Environment (TEE). Delegate your ZKP computational tasks to a cloud-based environment. Go beyond your resource constraints: scale without sacrificing data privacy.
Detailed Features 🔍
The ✨ 100+ features has been organized into categories for easier viewing.
Refer to Agentic Tools and Model Context Protocol (MCP) for a comprehensive documentation and list!
Github
Twitter / X
Google Docs
Gmail
Google Calendar
Google Meet*
Google Sheets
Slack
SQL
Hackernews
Microsoft Calendar
Microsoft OneDrive
Microsoft Outlook
Microsoft Teams
Microsoft Sharepoint
...and more!
STDIO MCP Manager*
Curated MCP Servers can be found in this link:
OCR
Face Detection
Retail Execution
Auto Feature Engineering *
Evaluation*
Data Quality Validation*
Post-quantum cryptography*
*Coming soon
Why GL SDK? ❓
Unlock your full potential in the AI era. The GL SDK provides the foundation you need to build groundbreaking applications without compromise.
Low Code: Achieve complex AI tasks in as few as five lines of code, drastically accelerating development and reducing errors.
Simple, But Flexible: Offers straightforward solutions without sacrificing the granular control needed for advanced use cases.
Low Maintenance: We handle all the underlying open-source dependency management, updates, and compatibility, so your applications simply "just work."
One-Stop Shop: The GL SDK provides a comprehensive, integrated solution for building production-ready AI applications.
Designed with Developer Experience in Mind: Meticulously crafted for intuitive use, quickly making beginners productive.
Learn more about GL SDK's advantages here.
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