With AI Agents is a TypeScript-based framework enabling developers to build, configure, and orchestrate modular AI Agents. It offers task planning, memory management, function calling, and customizable agent roles. Leveraging OpenAI APIs and a pluggable architecture, you can prototype automated workflows where agents collaborate to achieve objectives, store session context, and execute specialized functions seamlessly.
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With AI Agents
With AI Agents is a TypeScript-based framework enabling developers to build, configure, and orchestrate modular AI Agents. It offers task planning, memory management, function calling, and customizable agent roles. Leveraging OpenAI APIs and a pluggable architecture, you can prototype automated workflows where agents collaborate to achieve objectives, store session context, and execute specialized functions seamlessly.
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What is With AI Agents?
With AI Agents is a code-first framework in TypeScript that helps you define and orchestrate multiple AI Agents, each with distinct roles such as planner, executor, and memory. It provides built-in memory management to persist context, a function-calling subsystem to integrate external APIs, and a CLI interface for interactive sessions. By composing agents in pipelines or hierarchies, you can automate complex tasks—like data analysis pipelines or customer support flows—while ensuring modularity, scalability, and easy customization.
Who will use With AI Agents?
- AI Developers
- Machine Learning Engineers
- Software Engineers
- Technical Product Managers
How to use the With AI Agents?
- Step1: Install the framework via npm: npm install with-ai-agents
- Step2: Initialize a new project: npx with-ai-agents init my-agent-app
- Step3: Define agent roles in config: specify planner, executor, memory modules
- Step4: Implement functions: add custom function handlers in src/functions
- Step5: Configure API keys: set OPENAI_API_KEY in environment variables
- Step6: Run agents: use CLI or programmatic entrypoint to start orchestration
- Step7: Monitor output: view logs and memory state in console or storage
- Step8: Extend: add or swap agent modules to customize workflows
Platform
- Linux
- Mac
- Windows
With AI Agents's Core Features & Benefits
The Core Features
- Modular agent orchestration
- Persistent memory management
- Function calling integration
- Role-based agent configuration
- Interactive CLI interface
The Benefits
- Accelerates AI automation development
- Enhances modularity and reuse
- Maintains context across sessions
- Simplifies API integration
- Scales to complex workflows
With AI Agents's Main Use Cases & Applications
- Automated customer support agent workflows
- Data analysis and reporting pipelines
- Knowledge base Q&A systems
- Workflow automation for DevOps tasks
- Multi-agent collaborative problem solving
FAQs of With AI Agents
With AI Agents Company Information
With AI Agents Reviews
5/5
With AI Agents's Main Competitors and alternatives?
LangChain
AutoGPT
BabyAGI
Microsoft Semantic Kernel
ARTI
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