AgentSmithy is an open-source AI agent framework by Google Cloud Platform that facilitates building, deploying, and managing stateful AI agents. It provides memory stores, planning workflows, and integrations with Google Cloud services like Pub/Sub and Cloud Functions. Developers can extend agents with custom plugins, monitor performance through built-in observability tools, and ensure scalable, production-ready deployments for various automated tasks.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI agent development
#memory management
#task planning
#cloud functionality
#Google Cloud integration
#plugin architecture
#Observability tools
#scalable deployment
#elastic architecture
#event-driven triggers
#Performance Metrics
#role-based access
#custom data sources
#intelligent agents
#automation framework
#development lifecycle
#production readiness
#cloud-native design
#security features
#integration flexibility
...
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AgentSmithy
AgentSmithy is an open-source AI agent framework by Google Cloud Platform that facilitates building, deploying, and managing stateful AI agents. It provides memory stores, planning workflows, and integrations with Google Cloud services like Pub/Sub and Cloud Functions. Developers can extend agents with custom plugins, monitor performance through built-in observability tools, and ensure scalable, production-ready deployments for various automated tasks.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI agent development
#memory management
#task planning
#cloud functionality
#Google Cloud integration
#plugin architecture
#Observability tools
#scalable deployment
#elastic architecture
#event-driven triggers
#Performance Metrics
#role-based access
#custom data sources
#intelligent agents
#automation framework
#development lifecycle
#production readiness
#cloud-native design
#security features
#integration flexibility
...
Featured
What is AgentSmithy?
AgentSmithy is designed to streamline the development lifecycle of AI agents by offering modular components for memory management, task planning, and execution orchestration. The framework leverages Google Cloud Storage or Firestore for persistent memory, Cloud Functions for event-driven triggers, and Pub/Sub for scalable messaging. Handlers define agent behaviors, while planners manage multi-step task execution. Observability modules track performance metrics and logs. Developers can integrate bespoke plugins to enhance capabilities such as custom data sources, specialized LLMs, or domain-specific tools. AgentSmithy’s cloud-native architecture ensures high availability and elasticity, allowing deployment across development, testing, and production environments seamlessly. With built-in security and role-based access controls, teams can maintain governance while rapidly iterating on intelligent agent solutions.
Who will use AgentSmithy?
- AI Developers
- Cloud Architects
- Software Engineers
- Data Scientists
How to use the AgentSmithy?
- Step1: Clone the AgentSmithy repository from GitHub
- Step2: Install Python dependencies via pip
- Step3: Configure Google Cloud credentials and memory store
- Step4: Define agent behaviors and planners in code
- Step5: Integrate necessary Google Cloud services (Pub/Sub, Cloud Functions)
- Step6: Run agents locally for testing
- Step7: Deploy agents to Google Cloud using provided deployment scripts
Platform
- mac
- windows
- linux
AgentSmithy's Core Features & Benefits
The Core Features
- Memory Management (Google Cloud Storage/Firestore)
- Task Planning Workflow Engine
- Google Cloud Services Integration (Pub/Sub, Cloud Functions)
- Plugin System for Custom Extensions
- Observability and Logging Tools
- Scalable Cloud-Native Deployment
The Benefits
- Accelerates AI agent development
- Ensures scalable production deployments
- Simplifies memory and state management
- Enhances flexibility with plugins
- Provides built-in observability and monitoring
- Offers secure, cloud-native architecture
AgentSmithy's Main Use Cases & Applications
- Customer support chatbots with stateful interactions
- Automated data analysis and reporting agents
- Personalized recommendation engines
- Workflow automation across systems
- Continuous monitoring and alerting agents
FAQs of AgentSmithy
AgentSmithy Company Information
- Google Cloud Platform
AgentSmithy Reviews
5/5
AgentSmithy's Main Competitors and alternatives?
- LangChain
- Microsoft Semantic Kernel
- Haystack
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