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Show HN: Editmamei – Giving AI agents access to desktop Photoshop and GIMP

Hi HN! I built Editmamei, a local MCP server for Adobe Photoshop and GIMP. I built it because I wanted to connect Claude to a powerful photo editor, since Claude can't generate images itself. Apparently I wasn't the only one, Adobe previewed their own local Photoshop MCP yesterday, announcing at Adobe MAX a private beta in early 2027. Editmamei brings the AI agent of your choice into Photoshop and lets it do as much or as little of the editing as you want. It has tools to measure and inspect, ap

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Source record

Recorded metrics

points · 2 votes
2026-11-11 15:45:06.779Z
cumulative since publication

Research analysis

Project record

Repository: editmamei/editmamei. Source account: Hi HN! I built Editmamei, a local MCP server for Adobe Photoshop and GIMP. I built it because I wanted to connect Claude to a powerful photo editor, since Claude can't generate images itself. Apparently I wasn't the only one, Adobe previewed their own local Photoshop MCP yesterday, announcing at Adobe MAX a private beta in early 2027. Editmamei brings the AI agent of your choice into Photoshop and lets it do as much or as little of the editing as you want. It has tools to measure and inspect, ap

Observed adoption & comparisons

Source votes: 2 votes (Nov 11, 2026 UTC; cumulative since publication) Recent records to compare: “addyosmani/agent-skills” (GitHub Trending, Nov 11, 2026); “meta/astryx” (GitHub Trending, Nov 11, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.