← all releases
Hugging Face·Jan 29, 2026·Beta·open source

Daggr

Daggr is an open-source Python library designed to streamline the creation of AI workflows by connecting Gradio apps, machine learning models, and custom functions. It automatically generates a visual canvas for inspecting intermediate outputs, rerunning individual steps, and managing state within complex pipelines, all through concise Python code.

Open SourceAgentic AICoding
visit website
overview

Daggr is an open-source Python library designed to streamline the creation of AI workflows by connecting Gradio apps, machine learning models, and custom functions. It automatically generates a visual canvas for inspecting intermediate outputs, rerunning individual steps, and managing state within complex pipelines, all through concise Python code.

key features
  • 01Visualizes code flow with an automatically generated canvas
  • 02Allows inspection and rerunning of individual steps without executing the entire pipeline
  • 03Seamlessly integrates with Gradio Spaces, enabling the use of public or private Spaces as nodes in workflows
  • 04Automatically saves workflow state, input values, cached results, and canvas position for easy resumption
  • 05Supports 'sheets' to maintain multiple workspaces within the same application
related productsbrowse all →
MiroThinkeropen sourceMiroThinker is an open-source search agent model developed by MiroMindAI, designed for tool-augmented reasoning and real-world information seeking. It aims to match the deep research capabilities of leading AI models like OpenAI's Deep Research and Google's Gemini Deep Research.Letta Code SDKopen sourceThe Letta Code SDK is a software development kit that enables developers to build deeply personalized agents with persistent memory that learn over time. It serves as the interface to Letta Code, facilitating the creation of stateful agents capable of continuous learning and improvement.OB-1open sourceOB-1 is a self-improving coding agent developed by OpenBlock Labs, designed to autonomously handle the full development lifecycle, from project management to pull requests. It integrates seamlessly into existing workflows, enhancing productivity and code quality.