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DSH Plugin Weekly: memory plugins grow up (week 36, 2026)

Cross-session memory moved from demo to dependable this week, with approval gates, audit surfaces and bounded retrieval replacing clever but opaque designs.

Written by AllDSH Maintainers · Project maintainers

Maintains the index pipeline, security scans and publication schedule.

Memory plugins have been the most experimental corner of the ecosystem, and this week they started looking like infrastructure. The designs that gained traction all share one property: you can see what the agent decided to remember.

The approval gate becomes the norm

Memento continues to be the template. Writes are bounded, layered and gated behind approval, and a frozen snapshot is injected at recall time so results are reproducible. If you have been burned by a memory plugin that quietly accumulated noise over a long project, this is the design that fixes it.

Mnemon grows its graph

Mnemon is now running across several agent runtimes from a single binary. Graph-based recall rather than flat embedding search shows up in the results: related facts surface together, and the supervision step keeps the graph from filling with trivia.

Context is not memory

Worth repeating because the two get confused constantly. DSH Context tells you what is in the window right now and how it changed. Memory plugins decide what survives after the window closes. Installing one does not give you the other, and the strongest setups here have both.

Smaller notes

At File shipped a faster workspace index, which matters in large repositories. Deep Whale added a variant with higher contrast panels. DSH Free Search had intermittent rate limiting from its public backend, a reminder to move to a keyed provider if search becomes load-bearing.

Reading of the week

If you read one thing about agent memory, read the security guide section on the four permission surfaces. Memory plugins hold data about you by definition, and the place they hold it belongs in your evaluation alongside the retrieval quality.

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]About semantic versioning — npm DocsThe versioning convention behind the compatibility and dshTarget guidance.
  4. [4]Model Context Protocol — AnthropicSpecification for the MCP bridges several listed plugins implement.

All links last verified 2026-09-11

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