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Workflow framework for AI agents. MCP-native typed graphs, visual editor, Python export.

7 starsPython

Blacknode – Visual workflow builder Claude can drive via MCP

by temiroff·May 22, 2026·3 points·0 comments

AI Analysis

●●●BangerWizardryBig BrainZero to One

Agents build their own workflows through typed MCP tools instead of guessing fragile JSON graphs.

Strengths
  • MCP-first architecture gives agents typed tools to validate and self-correct graphs.
  • Live editor lets agents drive the running canvas while humans watch the assembly.
  • Export to readable Python enables versioning and extension beyond the visual interface.
Weaknesses
  • Public preview status means APIs and graph internals may still change significantly.
  • Niche audience limited to developers already building complex agent orchestration systems.
Target Audience

AI engineers building agent workflows, automation developers

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