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dsh-focal

Verified · install-tested on dsh Haoran2099

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2026-08-14Last push
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What it does

Privacy-first task memory and adaptive local desktop observation for DeepSeek Harness

✅
Our take
Works — verified, early-stage project

Privacy-first task memory and adaptive local desktop observation for DeepSeek Harness It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

FOCAL for DeepSeek Harness

FOCAL is an experimental, privacy-first memory plugin for
DeepSeek Harness. It filters an
agent session into task-isolated memories and injects only the active task's
bounded context into later model requests.

This is the DSH adaptation of
FOCAL: Filtered On-device Continuous Activity Logging for Efficient Personal
Desktop Summarization
. The paper reproduction
code remains in Haoran2099/focal.

Status

  • Plugin version: v0.1.1
  • DSH compatibility: 0.1.0-rc.6
  • Verified against official commit
    47f943859bef60e4160492346772ded9b24f765a
  • Clean-install and Host-load tested with the official 0.1.0-rc.6 CLI
  • Host plugin only; no Web UI extension yet

DeepSeek Harness is currently a developer preview and warns that compatibility-
breaking changes will occur. This package pins the supported DSH interfaces
intentionally.

Install

Install directly from the tagged GitHub source. The package is plain ESM and has
no install-time build script.

dsh plugin --profile web add github:Haoran2099/focal-dsh#v0.1.1
dsh --profile web --dump-config
dsh --profile web

Use --profile headless instead to add FOCAL to one-shot CLI runs.

Remove it with:

dsh plugin --profile web remove focal-dsh

What it does

  • Observes committed session/event records.
  • Routes direct user messages into task-isolated memories using a small,
    deterministic similarity filter.
  • Selectively records tool name, success/failure, and path-like arguments.
  • Never records assistant token streams, raw tool arguments, or raw tool-result
    content.
  • Redacts common credentials and email addresses; direct user text is captured
    by default and can be replaced with a generic marker through configuration.
  • Stores one bounded JSON document per session under
    $DSH_HOME/focal-dsh/v1 (normally ~/.dsh/focal-dsh/v1).
  • Contributes an active-task runtime-context snapshot and an anti-injection
    policy section.

Commands and tools

Human command:

/focal status
/focal tasks
/focal forget task-1
/focal forget all

Model-facing read-only tools:

  • focal_status
  • focal_recall

Deletion is deliberately available only through the human command.

Configuration

Override the inserted row in the profile's cordis.patch.yml. A DSH patch
replaces the row's whole config, so keep every setting you still need:

- id: focal-memory
  config:
    captureUserText: false
    captureToolPaths: true
    injectContext: true
    maxTasks: 32
    maxObservationsPerTask: 40
    maxContextObservations: 8
    maxContextChars: 4000

captureUserText: false replaces stored request text with a generic marker.
injectContext: false keeps collection and explicit recall available but adds
nothing automatically to model requests.

Privacy and trust boundary

FOCAL performs no network requests and has no telemetry. Stored text is local,
bounded, and passed through token, credential, and email redaction. Absolute
paths outside the workspace are reduced to their basename, and the workspace's
absolute path is not written into the memory document.

When injectContext is enabled, the filtered active-task snapshot becomes part
of the next model request and is therefore sent to the model provider selected
in DSH. Use a local provider or disable injection if that boundary is not
acceptable. Memory is explicitly marked as untrusted data; it is never treated
as instructions.

This filtering is defense in depth, not a guarantee that all sensitive values
can be recognized. Do not place credentials in prompts or tool arguments.

Development

Requires the Node.js range supported by DSH (^22.19.0 || >=24.0.0).

npm install
npm test
npm pack --dry-run

See CONTRIBUTING.md and SECURITY.md.

License and citation

The plugin code is MIT licensed. Cite the FOCAL paper using
CITATION.cff.

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-focal for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:Haoran2099/dsh-focal

Headless (CLI) profile:

dsh plugin --profile headless add github:Haoran2099/dsh-focal

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

Security: not yet scanned — our daily static scan will cover it shortly.

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