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DSH Plugin Weekly: vision tools take over (week 37, 2026)

Vision plugins dominated installs this week as three separate toolkits shipped updates, plus context tooling and a memory release worth pinning.

Written by AllDSH Maintainers · Project maintainers

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Vision was the story this week. Three separate toolkits shipped releases within days of each other, and the pattern is now clear: the ecosystem has settled on structured evidence rather than prose description as the right output for a model that cannot see.

Modlens leads the vision pack

Modlens updated with tighter layout segmentation, and its JSON evidence format is now the reference implementation other vision plugins are converging on. Text with coordinates, region labels, and a crop tool that lets the model ask for a closer look is a fundamentally better contract than “describe this image”.

Vision Router and Vision Toolkit both shipped

Vision Router added pixel diffing to its tool set, which makes visual regression checking a normal tool call rather than a bespoke workflow. Vision Toolkit improved long screenshot tiling, the failure mode that made OCR useless on full-page captures.

Zero-key setups matter here: both ship a free vision chain, which explains the install numbers.

Context tooling quietly became essential

DSH Context keeps climbing. The reason is practical: once sessions run past an hour, knowing what is in the window stops being curiosity and becomes necessary maintenance. Its composition view and compaction event log are the two features people mention most.

Memory release worth pinning

Memento shipped a schema refinement. If you depend on its snapshot format, pin the version, as the early releases are still settling. The approval gate on writes remains the feature that distinguishes it from the rest of the memory category.

Also worth a look

Background Agents released a durability fix so child agents survive a page reload, and MisakaNet continued to fill its shared debugging-lesson library.

What we are watching

Two things for next week: whether the interface plugins keep pace with the latest preview release, and whether any of the vision plugins adopt a shared evidence schema instead of three slightly different JSON shapes.

Sources & references

The technical claims on this page rest on the primary documents below. Each link is followed so it can be checked directly.

  1. [1]deepseek-ai/deepseek-harness — GitHubUpstream repository for DeepSeek Harness, the Cordis runtime and the plugin loading model.
  2. [2]dsh-plugin GitHub topic — GitHubThe discovery mechanism used to find plugins listed in this directory.
  3. [3]Model Context Protocol — AnthropicSpecification for the MCP bridges several listed plugins implement.
  4. [4]About semantic versioning — npm DocsThe versioning convention behind the compatibility and dshTarget guidance.

All links last verified 2026-09-11

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