TypedAI is a TypeScript-first platform for building and running AI agents, LLM-based workflows, and chatbots. It targets developers looking for a robust, type-safe framework to create sophisticated AI applications, including autonomous software engineering agents and multi-agent systems, with built-in observability and flexible deployment options.

How It Works

TypedAI leverages a TypeScript-native approach, offering static typing for prompts and agent interactions, which enhances refactorability and debugging compared to dynamic alternatives like LangChain. It supports a wide array of LLM providers and integrates numerous tools and functions (e.g., FileSystem, Jira, GitHub) via a decorator-based system for automatic schema generation, simplifying function calling and reducing boilerplate. The platform supports complex agent reasoning, hierarchical task decomposition, and sandboxed code execution for multi-step workflows.

Quick Start & Requirements

• Install: npm install typedai or use the provided Dockerfile.
• Prerequisites: Node.js, TypeScript. Specific LLM providers may require API keys.
• Demo: Code examples and UI Examples are available.

Highlighted Details

• Supports numerous LLM providers including OpenAI, Anthropic, Gemini, Groq, Ollama, and more.
• Features specialized agents for software development, including code editing, review, and ticket-to-PR workflows.
• Offers OpenTelemetry-based observability for monitoring agent performance and workflows.
• Provides both CLI and Web UI interfaces, with options for single-user local deployment or scalable multi-user cloud deployments (including SSO).

Maintenance & Community

• The project welcomes contributions via issues, pull requests, and discussions.
• Roadmap is available.

Licensing & Compatibility

• The license is not explicitly stated in the README.

Limitations & Caveats

The README does not specify the project's license, which is crucial for determining commercial use compatibility. Some advanced features like multi-user SSO enterprise deployment are mentioned as coming soon, indicating potential incompleteness in current deployment options.