Agent-Sdk-Go

Visit Tool

agent-sdk-go is an AI Agents & Automation tool that provides a powerful Go framework for building production-ready AI agents. It integrates memory management, tool execution, and multi-LLM support into a flexible architecture.

Claim this tool

8Views

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is agent-sdk-go?

agent-sdk-go is a robust Go framework designed for developing production-ready AI agents. It offers seamless integration with multiple large language models (LLMs) including OpenAI, Anthropic, and Google Vertex AI (Gemini models). Key features include advanced memory management with buffer and vector-based retrieval, a modular tool ecosystem for expanding agent capabilities, and built-in token usage tracking for cost monitoring. The framework also provides enterprise-ready features such as guardrails, complete observability, and multi-tenancy. Developers can define sophisticated agents and tasks using declarative YAML configurations, supporting sub-agents and MCP server integration, making it highly flexible and extensible for complex AI applications.

Best used for

Ideal for developers who need to build production-ready AI agents, integrate various LLMs, and manage complex agent behaviors. Especially valuable for creating scalable, observable, and secure AI applications within an enterprise context, leveraging Go for development.

Common actions

build AI agents

integrate LLMs

manage AI memory

track token usage

configure AI agents

github copilot"AI Agents"face swappingopen-sourcecollaborationworkflowsautomated workflowdeepfakelow-code/no-code

Capabilities

Key features

Multi-model LLM integration
Modular tool ecosystem
Advanced memory management
Token usage tracking
Built-in AI guardrails
Declarative YAML configuration
Enterprise multi-tenancy

Target Audience

developer

Integrations

openaianthropicgoogle-vertex-airedis

Pricing & Plans

Open Source

Free

FAQs

What LLMs does agent-sdk-go support?

agent-sdk-go seamlessly integrates with OpenAI, Anthropic, and Google Vertex AI (Gemini models). This multi-model intelligence allows developers to leverage different LLM capabilities within their AI agents, providing flexibility and choice for various tasks and requirements.

How does agent-sdk-go handle memory management for AI agents?

The framework offers advanced memory management capabilities, including persistent conversation tracking. It supports both buffer-based and vector-based retrieval options, allowing agents to maintain context and recall past interactions effectively, which is crucial for complex and long-running conversations.

Can agent-sdk-go be used for enterprise-level AI applications?

Yes, agent-sdk-go is designed with enterprise-ready features. It includes built-in guardrails for responsible AI deployment, complete observability with integrated tracing and logging, and enterprise multi-tenancy to securely support multiple organizations with isolated resources.

Trending

Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Also listed in

This tool also appears in

Coding & Development › Backend & APIs Coding & Development › Coding Agents Coding & Development › Open Source & Models

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce