Agents from Scratch TS is a comprehensive TypeScript codebase that helps developers create, configure, and extend LangChain-based AI agents. It provides examples for tool integration, memory handling, routing, and LLM chaining to rapidly prototype intelligent assistants and automation workflows.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#AI Agents
#TypeScript framework
#LangChain examples
#conversational AI
#agent development
#tool integration
#memory management
#LLM chaining
#custom plugins
#Automation Tools
#interactive assistants
#Open-source AI
#software prototyping
#code examples
#TypeScript safety
#development patterns
#agent routing
#data retrieval
#web search integration
#extensible architecture
...
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Agents from Scratch TS
Agents from Scratch TS is a comprehensive TypeScript codebase that helps developers create, configure, and extend LangChain-based AI agents. It provides examples for tool integration, memory handling, routing, and LLM chaining to rapidly prototype intelligent assistants and automation workflows.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#AI Agents
#TypeScript framework
#LangChain examples
#conversational AI
#agent development
#tool integration
#memory management
#LLM chaining
#custom plugins
#Automation Tools
#interactive assistants
#Open-source AI
#software prototyping
#code examples
#TypeScript safety
#development patterns
#agent routing
#data retrieval
#web search integration
#extensible architecture
...
Featured
What is Agents from Scratch TS?
Agents from Scratch TS is an open-source TypeScript framework that demonstrates how to build AI agents from the ground up using LangChain. It includes sample code for defining and registering external tools, managing conversational memory, routing user inputs to the right agent, and chaining multiple LLM calls. Developers can use it to understand best practices, customize agent behaviors, and integrate new capabilities such as web search, data retrieval, or custom plugins to automate tasks or build interactive assistants.
Who will use Agents from Scratch TS?
- TypeScript developers
- AI/ML engineers
- LangChain users
- Data scientists
- Automation architects
How to use the Agents from Scratch TS?
- Step1: Clone the repository from GitHub.
- Step2: Install dependencies with npm or yarn.
- Step3: Set your OpenAI (or other LLM) API keys in a .env file.
- Step4: Explore sample agent implementations in src/agents.
- Step5: Define new tools by extending the Tool interface.
- Step6: Configure memory modules and routing logic.
- Step7: Run examples with npm run start and test agent flows.
- Step8: Customize prompts, tools, and memory for your use case.
- Step9: Deploy your agent in a Node.js environment.
Platform
- mac
- windows
- linux
Agents from Scratch TS's Core Features & Benefits
The Core Features
- Tool integration examples (web search, calculators, etc.)
- Conversational memory management
- Agent routing and orchestration
- LLM call chaining patterns
- TypeScript typings and interfaces
The Benefits
- Rapid prototyping of AI agents
- Clear, well-documented code examples
- Extensible architecture for custom tools
- Strong TypeScript type safety
- Reusable patterns to accelerate development
Agents from Scratch TS's Main Use Cases & Applications
- Building customer support chatbots with dynamic tool calls
- Automating data retrieval and report generation
- Creating research assistants that chain web search and summarization
- Developing task automation agents for scheduling and reminders
FAQs of Agents from Scratch TS
Agents from Scratch TS Company Information
Agents from Scratch TS Reviews
5/5
Agents from Scratch TS's Main Competitors and alternatives?
- Agents from Scratch (Python)
- AutoGPT
- LangSmith Agent Toolkit
- Microsoft Bot Framework
- ReAct-style agent implementations
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