Agents with ADK provides a Python-based developer kit for building, testing, and deploying customizable AI agents. It offers tool integration, memory modules, action planning, and multi-agent orchestration to accelerate LLM agent development.
AI Platforms & Frameworks
Coding Assistance
Workflow Automation
#AI Agents
#Open Source Framework
#Python Programming
#memory management
#multi-agent systems
#LLM Integration
#action planning
#agent customization
#tool interfaces
#Rapid Prototyping
#extensible architecture
#Developer Tools
#intelligent systems
#logging and monitoring
#production-ready
#community-driven
#API integration
#agent coordination
#scalable AI solutions
#Machine Learning Framework
...
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Agents with ADK
Agents with ADK provides a Python-based developer kit for building, testing, and deploying customizable AI agents. It offers tool integration, memory modules, action planning, and multi-agent orchestration to accelerate LLM agent development.
AI Platforms & Frameworks
Coding Assistance
Workflow Automation
#AI Agents
#Open Source Framework
#Python Programming
#memory management
#multi-agent systems
#LLM Integration
#action planning
#agent customization
#tool interfaces
#Rapid Prototyping
#extensible architecture
#Developer Tools
#intelligent systems
#logging and monitoring
#production-ready
#community-driven
#API integration
#agent coordination
#scalable AI solutions
#Machine Learning Framework
...
Featured
What is Agents with ADK?
Agents with ADK is an open-source Python framework designed to streamline the creation of intelligent agents powered by large language models. It includes modular agent templates, built-in memory management, tool execution interfaces, and multi-agent coordination capabilities. Developers can quickly plug in custom functions or external APIs, configure planning and reasoning chains, and monitor agent interactions. The framework supports integration with popular LLM providers and provides logging, retry logic, and extensibility for production deployments.
Who will use Agents with ADK?
- AI developers
- Machine learning researchers
- Startup teams building conversational or task-oriented agents
- Enterprise engineering groups
- Educators and students in AI
How to use the Agents with ADK?
- Step1: Clone the repository from GitHub.
- Step2: Install dependencies via pip install -r requirements.txt.
- Step3: Configure your LLM API keys in the config file.
- Step4: Choose or extend an agent template and define tool integrations.
- Step5: Set up memory and planning modules as needed.
- Step6: Run the agent with python main.py and monitor logs.
- Step7: Deploy the agent as a service or integrate into your application.
Platform
- mac
- windows
- linux
Agents with ADK's Core Features & Benefits
The Core Features
- Modular agent templates
- Memory management and retrieval
- Tool execution interfaces
- Action planning and reasoning chains
- Multi-agent coordination
- Logging and monitoring
- Extensible plugin architecture
The Benefits
- Rapid prototyping of AI agents
- Highly extensible and customizable
- Supports multiple LLM providers
- Built-in memory and state handling
- Scalable for production use
- Open-source and community-driven
Agents with ADK's Main Use Cases & Applications
- Automated customer support chatbots
- Data analysis and reporting assistants
- Personal productivity agents
- DevOps automation bots
- Research and information retrieval agents
FAQs of Agents with ADK
Agents with ADK Company Information
Agents with ADK Reviews
5/5
Agents with ADK's Main Competitors and alternatives?
- LangChain
- LlamaIndex
- Microsoft Semantic Kernel
- AutoGen
- Haystack
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