JuggleChat offers a streamlined interface for AI conversation management by integrating a Tornado web server with the LangChain framework and OpenAI models. Users can spin up multiple named chat threads, each preserving its history through LangChain’s memory modules. Easily toggle between sessions, review past interactions, and maintain context across different use cases without losing data. The system supports configuration of custom OpenAI API keys and model selections, allowing experimentation with gpt-3.5-turbo or other GPT-based endpoints. Built for developers and researchers, JuggleChat comes with a minimal setup—install dependencies, provide your API key, and launch a local server. It’s ideal for testing prompts, prototyping AI agents, and comparing model behaviors in an isolated, self-contained environment.

Labs is an open-source, embeddable domain-specific language designed for defining and executing AI agents using large language models. It provides constructs to declare prompts, manage context, conditionally branch, and integrate external tools (e.g., databases, APIs). With Labs, developers describe agent workflows as code, orchestrating multi-step tasks like data retrieval, analysis, and generation. The framework compiles DSL scripts into executable pipelines that can be run locally or in production. Labs supports interactive REPL, command-line tooling, and integrates with standard LLM providers. Its modular architecture allows easy extension with custom functions and utilities, promoting rapid prototyping and maintainable agent development. The lightweight runtime ensures low overhead and seamless embedding in existing applications.