TypeAI Core is a modular TypeScript SDK for building advanced AI agents. It provides robust prompt templating, vector-based memory management, dynamic tool integration, and multi-agent orchestration. The library streamlines conversation flows, supports function calling, and simplifies stateful interactions, enabling developers to rapidly construct custom chatbots, virtual assistants, and data-processing agents.
Storyboard AI
AI API
AI Design Assistant
AI Dream Interpreter
#AI Agents
#language models
#conversational AI
#AI development framework
#Prompt Engineering
#API integration
#multi-agent systems
#TypeScript API
#workflow orchestration
#dynamic tool integration
#context-aware applications
#vector memory
#state management
#collaborative agents
#modular architecture
#Low-code AI
#Software development tools
#AI conversation memory
#development efficiency
#LLM Integration
...
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TypeAI Core
TypeAI Core is a modular TypeScript SDK for building advanced AI agents. It provides robust prompt templating, vector-based memory management, dynamic tool integration, and multi-agent orchestration. The library streamlines conversation flows, supports function calling, and simplifies stateful interactions, enabling developers to rapidly construct custom chatbots, virtual assistants, and data-processing agents.
Storyboard AI
AI API
AI Design Assistant
AI Dream Interpreter
#AI Agents
#language models
#conversational AI
#AI development framework
#Prompt Engineering
#API integration
#multi-agent systems
#TypeScript API
#workflow orchestration
#dynamic tool integration
#context-aware applications
#vector memory
#state management
#collaborative agents
#modular architecture
#Low-code AI
#Software development tools
#AI conversation memory
#development efficiency
#LLM Integration
...
Featured
What is TypeAI Core?
TypeAI Core delivers a comprehensive framework for creating AI-driven agents that leverage large language models. It includes prompt template utilities, conversational memory backed by vector stores, seamless integration of external tools (APIs, databases, code runners), and support for nested or collaborative agents. Developers can define custom functions, manage session states, and orchestrate workflows through an intuitive TypeScript API. By abstracting complex LLM interactions, TypeAI Core accelerates the development of context-aware, multi-turn conversational AI with minimal boilerplate.
Who will use TypeAI Core?
- AI/ML Developers
- Chatbot Engineers
- Software Architects
- R&D Teams
- Startups and Enterprises
How to use the TypeAI Core?
- Step1: Install via npm install @typeai/core
- Step2: Import core classes: import { Agent, ChatModel } from '@typeai/core'
- Step3: Configure your LLM provider (e.g., OpenAI API key)
- Step4: Define prompt templates and tool functions
- Step5: Initialize memory store (e.g., vector database)
- Step6: Create and configure your Agent instance
- Step7: Call agent.run(userInput) to execute the agent
- Step8: Extend with custom middlewares, tools, or nested agents
Platform
- Web
- Linux
- Mac
- Windows
TypeAI Core's Core Features & Benefits
The Core Features
- Prompt templating and management
- Vector-based conversational memory
- Dynamic tool and function integration
- Multi-agent orchestration
- LLM provider abstraction
- Type-safe TypeScript API
The Benefits
- Accelerates AI agent development
- Modular and extensible architecture
- Simplifies stateful multi-turn conversations
- Supports major LLM providers
- Reduces boilerplate for tool integrations
TypeAI Core's Main Use Cases & Applications
- Customer support chatbots with contextual memory
- Automated data retrieval and analysis assistants
- Virtual personal assistants for scheduling and reminders
- Code generation and review agents
- E-commerce sales and FAQ bots
TypeAI Core's Pros & Cons
The Pros
Enables the creation of AI functionalities with strong TypeScript type safety.
Simplifies LLM integration into TypeScript code by automating JSON schema generation.
Allows AI-backed functions to feel like ordinary code, reducing cognitive load.
Open source with an active GitHub repository.
Supports function dispatch and result handling with OpenAI APIs transparently.
The Cons
Requires specific runtime environments (e.g., does not support tsx runtime).
Needs installation of forked versions of Deepkit packages which could complicate setup.
Documentation mentions some gotchas and experimental decorators requirements that may impose learning curve.
FAQs of TypeAI Core
TypeAI Core Company Information
- TypeAI Inc.
Analytic of TypeAI Core
Visit Over Time
Monthly Visits
6668.4k
Avg Visit Duration
00:02:33
Page Per Visit
2.61
Bounce Rate
52.68%
Aug 2025 - Oct 2025 All Traffic
Geography
Top 5 Regions
India
16.22%
United States
11.59%
China
6.84%
Germany
3.82%
United Kingdom
3.28%
Aug 2025 - Oct 2025 Worldwide Desktop Only
Traffic Sources
Search
65.10%
Direct
27.14%
Referrals
7.15%
Social
0.30%
Paid Referrals
0.29%
Mail
0.01%
Aug 2025 - Oct 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| npm | 324.4k | $ 2.02 |
| npm install | 81.0k | $ 1.53 |
| npmjs | 22.0k | $ 3.18 |
| react icons | 170.8k | $ 2.48 |
| dotenv | 33.2k | $ 0.27 |
TypeAI Core Reviews
5/5
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