To get started with Manifold, users can download pre-built binaries or install from source. The platform requires certain prerequisites like Chrome, Python, and Docker, and offers a flexible configuration system using YAML files and environment variables. Manifold supports OpenAI-compatible endpoints and provides a Docker image for the Model Context Protocol server component. Users are advised to change default authentication credentials for security and can contribute to the project by checking open issues and submitting pull requests.
Key takeaways:
- Manifold is a platform for workflow automation using AI models, supporting text and image generation, and retrieval-augmented generation.
- It integrates with popular AI endpoints like OpenAI, Google Gemini, and Anthropic Claude, and offers semantic search capabilities using PGVector and SEFII.
- Manifold provides tools for code execution in Python, Go, and JavaScript, and supports controlled execution flow for workflows.
- Installation can be done via pre-built binaries or from source, with Docker recommended for easy setup of PGVector.