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dsh-experience-map

Evidence-governed experience memory and structured reuse workflow for DeepSeek Harness.

Terminal & TUIDeveloper ToolsBrowser & WebSecurity & PolicySkills & WorkflowsRemote Execution
1GitHub Stars0ForksUpdated2026-10-02

Install

$ dsh plugin --profile web add [email protected]

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-experience-map is an evidence-governed experience memory bundle for DeepSeek Harness. It captures completed session workflows into structured, versioned Experiences (procedures, diagnostics, strategies, preferences, facts, and causal candidates) backed by local SQLite storage. Rather than relying on unconstrained vector retrieval, it enforces preflight checks, deterministic gate thresholds, explicit plan approvals, and authoritative verification before injecting reuse context or executing guided tasks.

Key Capabilities

  • Automatic suggestion detection and grouping from completed harness tasks
  • Six structured Experience kinds: Procedure, Diagnostic, Strategy, Preference Policy, Fact, and Causal candidates
  • Preflight environment validation and deterministic hard-gated candidate matching
  • Configurable local hybrid recall using MiniSearch lexical ranking or optional local multilingual E5 embeddings
  • Explicit plan inspection, approval gates, and minimal one-time context injection
  • Authoritative readback verification and settlement lifecycle tracking
  • Integrated web workspace tab in the harness UI, headless CLI runner, and dedicated management commands

Useful For

  • Preventing the agent from rediscovering steps for solved, repeatable development and diagnostic workflows
  • Enforcing strict evidence binding and human approval before reusing past procedures
  • Managing structured operational memory across sessions with local-first privacy

Who It Fits

  • DeepSeek Harness developers and power users wanting repeatable agent workflows
  • Teams requiring auditable, evidence-backed agent memory and strict execution boundaries

Documented Limitations

  • Requires DeepSeek Harness 0.2.0-rc.2 (version 0.1.0-beta.6) or 0.1.5-rc.2 (version 0.1.0-beta.3)
  • Automatic execution and automatic admission are disabled by default (shipped at shadow evaluation level)
  • Optional dense vector retrieval requires manual installation and setup of @huggingface/transformers
  • Causal records remain candidates and do not infer general causality without validated evidence
  • Does not backfill historical sessions completed while the plugin was inactive

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 1 runtime, 44 development, 26 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
alcheme-labs/dsh-experience-map
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
4535926 · 2026-10-17

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
1GitHub stars
Forks
0
Open issues
6
Last commit
2026-10-02
Last release
No release detected
For maintainers

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